Uttarakhand State Earthquake Early Warning System: A Case Study of the Himalayan Environment.

The increased seismic activity observed in the Himalayas, coupled with the expanding urbanization of the surrounding areas in northern India, poses significant risks to both human lives and property. Developing an earthquake early warning system in the region could help in alleviating these risks, especially benefiting cities and towns in mountainous and foothill regions close to potential earthquake epicenters. To address this concern, the government and the science and engineering community collaborated to establish the Uttarakhand State Earthquake Early Warning System (UEEWS). The government of Uttarakhand successfully launched this full-fledged operational system to the public on 4 August 2021. The UEEWS includes an array of 170 accelerometers installed in the seismogenic areas of the Uttarakhand. Ground motion data from these sensors are transmitted to the central server through the dedicated private telecommunication network 24 hours a day, seven days a week. This system is designed to issue warnings for moderate to high-magnitude earthquakes via a mobile app freely available for smartphone users and by blowing sirens units installed in the buildings earmarked by the government. The UEEWS has successfully issued alerts for light earthquakes that have occurred in the instrumented region and warnings for moderate earthquakes that have triggered in the vicinity of the instrumented area. This paper provides an overview of the design of the UEEWS, details of instrumentation, adaptation of attributes and their relation to earthquake parameters, operational flow of the system, and information about dissemination of warnings to the public.

Introduced and extinct: neglected archival specimens shed new light on the historical biogeography of an iconic avian species in the Mediterranean.

Collection specimens provide valuable and often overlooked biological material that enables addressing relevant, long-unanswered questions in conservation biology, historical biogeography, and other research fields. Here, we use preserved specimens to analyze the historical distribution of the black francolin (Francolinus francolinus, Phasianidae), a case that has recently aroused the interest of archeozoologists and evolutionary biologists. The black francolin currently ranges from the Eastern Mediterranean and the Middle East to the Indian subcontinent, but, at least since the Middle Ages, it also had a circum-Mediterranean distribution. The species could have persisted in Greece and the Maghreb until the 19th century, even though this possibility had been questioned due to the absence of museum specimens and scant literary evidence. Nevertheless, we identified four 200-year-old stuffed black francolins-presumably the only ones still existing-from these areas and sequenced their mitochondrial DNA control region. Based on the comparison with conspecifics (n = 396) spanning the entirety of the historic and current species range, we found that the new samples pertain to previously identified genetic groups from either the Near East or the Indian subcontinent. While disproving the former occurrence of an allegedly native westernmost subspecies, these results point toward the role of the Crown of Aragon in the circum-Mediterranean expansion of the black francolin, including the Maghreb and Greece. Genetic evidence hints at the long-distance transport of these birds along the Silk Road, probably to be traded in the commerce centers of the Eastern Mediterranean.

Short Stature for Age in Children of 5 to 16 Years: The First Research from the Northern Himalayan Region of India.

Introduction: Anthropometric parameters play vital role in monitoring growth in pediatrics. Many etiological factors lead to short stature. So, before assessing the etiological factors short stature needs to be addressed. This study aimed to screen short stature for age in school-going children aged 5 to 16 years in Uttarakhand. Material and Methods: In this cross-sectional observational study, the height (through stadiometer) and weight (through weight machine) of 4189 students of government and private school in Rishikesh (Uttarakhand) aged 5-16 years were measured after the verbal assent of the students and individual's height is in the 3rd percentile for the mean height of a given age, sex, and population group and was considered short stature. The data collection was performed from October 2019 to July 2021. The data were categorized according to different age groups to 5-8 years, 9-12 years, and 13-16 years. The data were recorded in Microsoft (MS) Excel spreadsheet program. Statistical Package for the Social Sciences (SPSS) v23 (IBM Corp.) was used for data analysis. Descriptive statistics were elaborated in the form of means or standard deviations and medians or Interquartile range IQRs for continuous variables and frequencies and percentages for categorical variables. The Chi-square test was used for group comparisons for categorical data. Results: 7.1% of children were short stature (height 143.16 ± 15.09 cm) in the Himalayan belt, and males were more prone to short stature at age of 9-12 years. Conclusion: In the growing phase of children, the etiology of short stature has to be rectified, so the children can achieve such proper growth. Parents and physicians have to assess and monitor the growth of children timely. This study can be a stepping stone for further epidemiological studies.

Fishery, growth, mortality, and stock assessment of endangered Tor putitora from Tehri dam reservoir, Uttarakhand, Himalayan foothills of India in relation to environmental variables.

The current study determined Tor putitora (Hamilton, 1822) fishery, growth, mortality, and population characteristics using length-frequency data assembled monthly from the Tehri dam reservoir in Uttarakhand from January to December 2022. The estimation data was separated into 40-mm class intervals, and population parameters were investigated and computed using the FiSAT-II software tool. W = 0.0101 L2.996, where a = 0.0101 and b = 2.99, were determined as the length-weight relationships, and the growth performance index (ϕ) was computed to be 5.40. Tor putitora commercial catches in the Tehri dam reservoir were dominated by length groups of 360-399 and 320-359 mm. Different growth parameters were estimated using length-frequency data as L∞ = 987.00 mm, K = 0.26 yr-1, and t0 = -0.0003 years. Z, M, and F mortality coefficients were estimated to be 1.01, 0.27, and 0.73, respectively. At the end of the first, second, third, fourth, fifth, sixth, and seventh years, the fish measured 226, 400, 535, 638, 718, and 780, and 827, respectively. The estimated value of the exploitation rate (E) was 0.73 using the length-converted catch curve approach, which was determined to be somewhat higher than the optimum value (0.50). Tor putitora recruitment patterns from the Tehri dam reservoir reveal that the species only has one recruitment pattern every year, and that solely occurs from June to September. The current exploitation level (0.73) has already exceeded the maximum fishing pressure (Emax = 0.508), indicating that there is a decline in the catch at the current fishing pressure, and a further increase in fishing efforts may lead to a decline in the stock, which may be detrimental to the sustainable fishery of Tor putitora in the Tehri dam reservoir, Uttarakhand, India.

Microplastics in the River Ganga and its fishes: Study of a Himalayan River.

The River Ganga has been explored for microplastics (MPs) majorly in the lower or middle course, while the upper course from where the river starts its journey remains untouched. This study investigates the occurrence and distribution of MPs in the river environment (water and sediment) and common fishes inhabiting the upper stretch of River Ganga in the Uttarakhand state of India. A volume-reduce method by using sieve filtration was used to take water and sediment samples from the study area while fish samples were collected using net method. The samples underwent alkali digestion, microscopic examination, and chemical analysis using Fourier Transformed Infrared Spectroscopy (FTIR). An average of 118.5 ± 49.65 particles per 1000 L and 131.5 ± 53.60 particles/kg dry weight were found in water and sediment respectively. While in the fishes, Tor tor, Schizothorax richardsonii, Labeo dero and Gara gotyla gotyla MPs were 53.13 ± 63.77, 36.33 ± 22.34, 15.42 ± 9.33 and 12.63 ± 5.93 particles/individual respectively. A positive correlation was observed between the number of MPs in fish and their body length, weight, and gut weight, while no correlation was found between feeding habit and MP accumulation. The majority of MPs detected were fibers ranging from 100 µm to 1 mm in size. Polymer types varied among water, sediment, and fish samples, with polyethylene (PE) predominant in water, polypropylene (PP) dominant in sediment, and polyethylene terephthalate (PET) and polystyrene (PS) most abundant in fish samples.

Assessment of forest fire emissions in Uttarakhand State, India, using Open Geospatial data and Google Earth Engine.

In the recent past, forest fires have increased due to the changing climate pattern. It is necessary to analyse and quantify various gaseous emissions so as to mitigate their harmful effects on air pollution. Satellite remote sensing data provides an opportunity to study the greenhouse gases in the atmosphere. The multispectral sensor of the Tropospheric Monitoring Instrument (Sentinel-5) is capable of recording the reflectance of wavelengths vital for measuring the atmospheric concentrations of methane, formaldehyde, aerosol, carbon monoxide, etc., at a spatial resolution of 0.01°. The present study utilized the Google Earth Engine (GEE) platform to study the emissions caused by forest fires in four districts of Uttarakhand State of India, which witnessed unprecedented fires in April-May 2021. All the datasets were ingested in GEE, which has the capability to analyse large datasets without the need to download them. The pre-fire period chosen was September 2020; the fire period was February-May 2021, and the post-fire period was June 2021. The variables chosen were aerosol absorbing index (AAI), carbon monoxide (CO) and nitrogen dioxide (NO2). The climate parameter temperature (Moderate Resolution Imaging Spectroradiometer Land Surface Temperature) and precipitation (from Climate Hazards Group InfraRed Precipitation (CHIRPS) Pentad) were also studied for the period mentioned. The results indicate a different trend for emissions in each district. For AAI, maximum emissions were noted in district Nainital followed by Almora, Tehri Garhwal and Garhwal. For CO emissions, the most affected district was Almora followed by Nainital, Garhwal and Tehri Garhwal. For NO2 emissions, the most affected district was Garhwal, followed by Nainital, Tehri Garhwal and Almora. Delta Normalized Burn Ratio was computed from Sentinel data (difference of pre-fire and post-fire images) to assess the burnt area severity. The Delta Normalized Burn Ratio values observed that the district with the most burnt area is Garhwal, followed by Nainital, Almora and Tehri Garhwal. The elevated temperatures and scanty rainfall patterns regulated the intensity and duration of forest fire. Monitoring the gaseous emissions as a consequence of forest fire in the GEE platform is much easier and more convenient at a regional level. Such data is much needed for mitigation measures to be implemented in time.

Four Novel Species and Two New Records of Boletes from India.

Repeated macrofungal explorations, followed by thorough examination of species through morphology and molecular phylogeny, have made it clear that European and American names of wild mushrooms were inadvertently misapplied quite often to Asian lookalikes by mycologists/taxonomists in the past. Therefore, in order to reveal this mushroom treasure, in recent years, taxonomical research on wild mushrooms has been intensified in Asian countries, including India, by undertaking a combined approach of morpho-taxonomy and multigene molecular phylogeny. Boletoid mushrooms (Boletaceae) are no exception. While working on boletoid mushrooms of the Indian Himalayas, authors recently came across six interesting species of boletoid mushrooms. In the present communication, four novel species, namely Leccinellum binderi, Cyanoboletus paurianus, Xerocomus uttarakhandae, and Xerocomellus himalayanus, are established based on morphology and molecular phylogenetic estimations. Moreover, Cyanoboletus macroporus and Xerocomus fraternus are also reported here for the first time in India.

Different GCMs yet similar outcome: predicting the habitat distribution of Shorea robusta C.F. Gaertn. in the Indian Himalayas using CMIP5 and CMIP6 climate models.

Climate change impact on the habitat distribution of umbrella species presents a critical threat to the entire regional ecosystem. This is further perilous if the species is economically important. Sal (Shorea robusta C.F. Gaertn.), a climax forest forming Central Himalayan tree species, is one of the most valuable timber species and provides several ecological services. Sal forests are under threat due to over-exploitation, habitat destruction, and climate change. Sal's poor natural regeneration and its unimodal density-diameter distribution in the region illustrate the peril to its habitat. We, modelled the current as well as future distribution of suitable sal habitats under different climate scenarios using 179 sal occurrence points and 8 bioclimatic environmental variables (non-collinear). The CMIP5-based RCP4.5 and CMIP6-based SSP245 climate models under 2041-2060 and 2061-2080 periods were used to predict the impact of climate change on sal's future potential distribution area. The niche model results predict the mean annual temperature and precipitation seasonality as the most influential sal habitat governing variables in the region. The current high suitability region for sal was 4.36% of the total geographic area, which shows a drastic decline to 1.31% and 0.07% under SSP245 for 2041-60 and 2061-80, respectively. The RCP-based models predicted more severe impact than SSP; however, both RCP and SSP models showed complete loss of high suitability regions and overall shift of species northwards in the Uttarakhand state. We could identify the current and future suitable habitats for conserving sal population through assisted regeneration and management of other regional issues.

Extended blood group phenotyping of donors from the lower and middle Himalayan region of Uttarakhand India: A pilot study.

BACKGROUND: The state of Uttarakhand, bordering countries such as Tibet and Nepal, is a multi-ethnic region. Further, erythrocyte alloimmunization may arise from the incompatibility of major and/or minor blood groups between ethnically diverse donors and recipients. We aimed to screen Uttarakhand blood donors (UBDs) for extended phenotyping of their erythrocytes serologically. METHODS: This prospective cross-sectional analysis involved all UBD samples collected at the blood centre of our tertiary-care hospital. Samples were obtained over 9 months (Mar'22 to Nov'22). Donors who were O-typed, DAT-negative and non-reactive for TTI markers were processed further for serological testing using the column agglutination technique utilizing 21 different monoclonal antisera (Ortho diagnostics Pvt ltd, Mumbai India). The research was financially aided by UCOST, Uttarakhand, Government of India. RESULTS: Of the 5,407 blood samples collected, the total number of O-typed samples collected was 1622. Of these 1622, 329 (20.2 %) O-typed samples were selected based on our inclusion criteria and hence further phenotyped. Amongst these 329 UBDs, the average age was 32.7 ± 9.32 (18-52) years and the male-to-female ratio was (M: F = 12:1). The prevalence of high- and low-frequency blood antigens in our study was Rh (D 96.6 %, C 84.8 %, c 63.5 %, E 27.9 % and e 92 %), Lewis (Lea 6.3 %, Leb 31.9 %), Kidd (Jka 87.8 %, Jkb 63.2 %), Kell (K 1.8 %, k 96.3 %) and Duffy (Fya 63.5 %, Fyb 10.6 %). And in the MNS system we received 21.2 % as M, 10.9 % N, 37 % S and 51.3 % as s respectively. We also identified some very rare minor antigens such as Dia 1.8 %, Ina 1.8 %, Cw 0.6 % and, 1.2 % Mur positive donors, which are not common in our population, as per the published literature. Moreover, we also identified one Bombay blood phenotype (Oh) in one of our UBD recruits. CONCLUSION: To sum up, practically with the outcome of this research, we were also able to identify rare phenotypes among the local people and a rare blood donor registry was created. This repository shall also come in use for our multi-transfused patients having different oncological and haematological ailments.

Traditional food knowledge of local people and its sustainability in mountains of Uttarakhand State of India.

With homogenisation of various cultural groups due to outside forces and the effect of globalisation, many traditional foods, as developed by various cultural groups, have been lost or on the verge of elimination. In this context, the present study aims to examine and document the traditional food knowledge of local people in Uttarakhand State of India. Interviews and interactions with the local people resulted in documentation of 38 cuisines traditionally prepared by the local people of selected study regions in Uttarakhand. Apart from boiled rice and chapattis (flatbread) of wheat flour, chapattis and porridge of finger millet flour and boiled barnyard and foxtail millets were frequently consumed dishes in combination with dishes made with locally grown pulses such as horse gram and black gram and vegetables such as potato, radish and other leafy vegetables. The supplementary dishes were locally called as fanu, chaisu, gathoni, thechwani, kafli and kadhi. Plants formed the major ingredients in making traditional cuisines. The present study documented 41 plant species comprising of cereals, millets, pulses and spices. With a view to enhance the taste of the dishes, different spices and condiments such as Allium humile, Allium wallichii, Cleome viscosa, Cannabis sativa, Perilla frutescens and Cinnamomum tamala were used by the local people. These dishes possessed some unique characteristics and ethno-medicinal values; hence, when required, they were used to cure a number of ailments as well. Since most of the mountain region in the study area was once inaccessible and health facilities were not much developed till recent times, the traditional health-care system was supported by the traditional food systems. The findings of the present study are further discussed in the context of sustainability of socio-ecological systems of Uttarakhand.

Clinical and Biochemical Correlation With Cytomorphological Findings of Lymphocytic Thyroiditis: An Experience at a Tertiary Centre in the Himalayan Foothills.

Introduction Lymphocytic thyroiditis is an autoimmune disorder and one of the major causes of hypothyroidism. On cytomorphology, it is characterized by follicular destruction by lymphocytes with elevated biochemical markers, including a panel of autoantibodies against thyroid antigens. This study aimed to determine the prevalence of various cytological features of lymphocytic thyroiditis and their correlation with clinical presentation and biochemical parameters. Materials and methods We conducted a hospital-based cross-sectional study of 105 patients diagnosed with lymphocytic thyroiditis on cytology at our tertiary care center in the Himalayan foothills from December 2018 to December 2019. We recorded and analyzed baseline demographic characteristics, clinical features, and biochemical parameters to assess correlations between cytological findings and grades. Results The study included 105 patients with lymphocytic thyroiditis (90 females, 15 males). The study population age ranged from 11 years to 80 years, with the disease most common in patients aged 21 to 40 years. Grade II was the most common cytological presentation (n=65, 62%). Thyroid-stimulating hormone levels were elevated in 33.3% of cases, and anti-thyroid peroxidase levels were elevated in all 25 cases for whom data were available (p>0.05). Conclusion Cytological diagnosis of lymphocytic thyroiditis was compatible in all cases in the study. However, cytological grading did not correlate with the clinical presentation and biochemical parameters. The diagnosis of lymphocytic thyroiditis could be missed if clinicians use clinical findings and biochemical parameters alone.

Spatio-temporal dynamics of water quality in river sources of drinking water in Uttarakhand with reference to human health.

Any contamination in potable water leads to high risk on human health. Hence, it is inevitable to characterize water quality and assess temporal change with reference to human health. In this paper, nineteen water quality parameters from 50 sources of drinking water supply operated by state agency Uttarakhand Jal Sansthan (UJS) were analysed. The water samples were collected for pre-monsoon (May) and post-monsoon (November) seasons for the year 2010, 2011, 2018 and 2019. Multivariate analysis such as Pearson's correlation coefficient (r), K-mean, hierarchical clustering and principle component analysis (PCA) were applied to examine the drinking water quality at source sites. The strength of correlation among the parameters is reduced over the time. Cluster analysis provides six major hydro-chemical clusters in the study region. Clusters were compact during 2010-2011 and converted to overlapping structure in later period. The size of clusters was change from two clusters to six clusters during 2018-2019. These hydro-chemical clusters were examined through PCA and established six major hydro-chemical components of water quality. The physico-chemical parameters, namely, pH, alkalinity, TH, TDS, Na, K, Ca, Mg, Cl and SO4, were in PC-1, the heavy metals in PC-3, turbidity in PC-4, TC in PC-5 and PC-6 is combination of turbidity, NO3 and TC, whereas PC-2 was a mix of pH and Na and K salts. Study highlighted that the water quality has changed over the time due to runoff of plant debris, erosion, agricultural fertilizer, development activities and local geology hosts. Each PCs was mapped with associated human health issues. Result reveals that structures and pattern of PCs indicate several human health diseases over the later period with seasonal effects.

Heavy metal concentration and its distribution analysis in urban road dust: A case study from most populated city of Indian state of Uttarakhand.

The present work reports pollution level and spatial distribution of heavy metals (HMs) i.e. Iron (Fe), Manganese (Mn), Zinc (Zn), Copper (Cu), Lead (Pb), Chromium (Cr), Nickel (Ni), and Arsenic (As) in road dust of Dehradun city, Uttarakhand, India. Seventy samples in triplicates were collected from different land-use areas categorized as residential, commercial, national highways, and silent zones. The Concentrations of studied HMs were determined by the acid digestion method followed by inductively coupled plasma-mass spectrometry (ICP-MS). Pearson's significant correlation analysis is used to evaluate the relationship between heavy metal (HM) concentration and principal components analysis (PCA) was used for source identification of HMs in road dust. The average concentration of Mn, Zn, Cu, Pb, and Ni found higher when compared to the Indian soil background values. Among all studied HMs, Pb and Zn were found the most contaminated HMs in road dust. The degree of contamination shows the highest contamination of HMs found in commercial zones followed by National highways. The pollution load index (PLI) was found higher than 1 in all monitored 70 locations, showing the deterioration in the quality of road dust over the Dehradun city due to HMs. The principal component analysis result suggests that PC1 (Fe, Zn, Cu, and Ni) mainly comes from vehicular pollution, including tire wear and brake pad wear particles and corrosion of metallic components. PC2 (Mn and As) primarily comes from fossil fuel burning and pesticides and fertilizers containing Mn and As compounds. PC3 (Pb and Cr) mainly comes into road dust via fuel and lubrication oil residues and chrome-based paints. Spatial distribution maps of the HM concentration reveal that the city's central and eastern zone is the primary hotspot of high HM concentration, which links these zones to high vehicular volume and high population pressure.

Pattern and clinico-epidemiological profile of female patients of RTI/STIs attending an STI clinic in Uttarakhand, India.

Context: Reproductive tract infections/sexual tract infections (RTI/STIs) have a huge economic impact in terms of costs of healthcare, loss of productivity and the long-term sequelae. Aims: This study was aimed at documenting the pattern of RTI/STIs and clinico-epidemiological profiles of patients attending an STI clinic. Settings and Design: Seventy-six female patients attending the STI clinic at the Department of Obstetrics and Gynaecology, AIIMS Rishikesh between November 2017 and March 2018 were recruited after taking informed verbal consent in this cross-sectional study. Methods and Materials: All patients were evaluated and managed according to the syndromic approach (NACO). Patients were interviewed and data were entered into a semi-structured questionnaire. Statistical Analysis Used: The data were analysed using Microsoft Excel 2016 (Microsoft Corporation, released September 22, 2015). Results: The average age of the patients was 34.46 ± 8.77 years, with a maximum of patients (41%) in the age group 25-35 years. The majority of patients were from an urban background (62%), Hindu (91%), married (95%) and housewives (74%). Most had some level of formal education (97%) and belonged to the lower middle class (43%). The most common diagnosis was lower abdominal pain (LAP) (68%) followed by vaginal/cervical discharge (VD/CD) (30%). Only one patient out of 76 had genital ulcer disease - herpetic (GUD-H). Conclusions: There is a need for focussed community-based interventions targeting the young, urban, lower-middle-class population to reduce the burden of STIs, particularly LAP.

Contribution to the knowledge of Teloganodidae (Ephemeroptera, Ephemerelloidea) of India.

Two new species of Dudgeodes Sartori, 2008 and a new species of Teloganodes Eaton, 1882 are described from India; they are Dudgeodesselvakumari Martynov & Palatov, sp. nov. from Himalayan region (Uttarakhand), Dudgeodesmolinerii Sivaruban, Martynov, Srinivasan, Barathy & Isack, sp. nov., and Teloganodesbarathyae Sivaruban, Martynov, Srinivasan & Isack, sp. nov. from the Tamil Nadu part of the Western Ghats. Thus, for now, the Teloganodidae fauna of India includes 11 species. Dudgeodesselvakumari sp. nov. appears to be significantly extend northward the known distribution of Dudgeodes. Partial COI sequences were used as an initial clustering method to show the relationships of D.selvakumari sp. nov. with other sequenced operational taxonomic units (OTU) of the genus.

Floods, landslides and COVID-19 in the Uttarakhand State, India: Impact of Ongoing Crises on Public Health.

The Uttarakhand State, known for its Himalayan Mountains, is a territory in Northern India that is extremely vulnerable to earthquakes, landslides, and floods. Currently, due to the COVID-19 outbreak, India is facing the dual challenge of containing a pandemic and responding to natural disasters. This situation can have a negative impact on the health and the economic development of the region, leading to a long-lasting humanitarian crisis that can disrupt even more, the already overburdened health service. In addition, it can pose serious threats to the wellbeing of the population as it complicates physical distancing and other COVID-19 prevention measures. It is of utmost importance to analyse the impact of floods, landslides, and COVID-19 pandemic on the health system of the Uttarakhand State, and how these crises interact with each other.

Alliumnegianum (Amaryllidaceae): a new species under subg. Rhizirideum from Uttarakhand Himalaya, India.

A new species, Alliumnegianum (Amaryllidaceae), belongs to the genus Alliumsubg.Rhizirideum, sect. Eduardia is described here from the Uttarakhand Himalayan region of India. This taxon grows in Malari region of Niti valley in Chamoli district and Dharma valley of Pithoragarh district, Uttarakhand, India. It is a narrowly distributed species and morphologically more closer to A.przewalskianum Regel but differentiated by its tunic color of bulb, umbel with lax flowers, peduncle length, perigone colour, size and shape and leaf anatomy. Taxonomic delineation and relationship analysis based on nuclear ribosomal Internal Transcribed Spacers (ITS) region indicated that A.negianum is distinct and related to A.przewalskianum. This study provided a comprehensive description and comparison with A.przewalskianum, an identification key and notes on the distribution of the species.

Bulk Processing of Multi-Temporal Modis Data, Statistical Analyses and Machine Learning Algorithms to Understand Climate Variables in the Indian Himalayan Region.

Studies relating to trends of vegetation, snowfall and temperature in the north-western Himalayan region of India are generally focused on specific areas. Therefore, a proper understanding of regional changes in climate parameters over large time periods is generally absent, which increases the complexity of making appropriate conclusions related to climate change-induced effects in the Himalayan region. This study provides a broad overview of changes in patterns of vegetation, snow covers and temperature in Uttarakhand state of India through bulk processing of remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) data, meteorological records and simulated global climate data. Additionally, regression using machine learning algorithms such as Support Vectors and Long Short-term Memory (LSTM) network is carried out to check the possibility of predicting these environmental variables. Results from 17 years of data show an increasing trend of snow-covered areas during pre-monsoon and decreasing vegetation covers during monsoon since 2001. Solar radiation and cloud cover largely control the lapse rate variations. Mean MODIS-derived land surface temperature (LST) observations are in close agreement with global climate data. Future studies focused on climate trends and environmental parameters in Uttarakhand could fairly rely upon the remotely sensed measurements and simulated climate data for the region.