Map** and assessment of vegetation types in the tropical rainforests of the Western Ghats using multispectral Sentinel-2 and SAR Sentinel-1 satellite imagery

JJ Erinjery, M Singh, R Kent - Remote Sensing of Environment, 2018 - Elsevier
Detailed map** and regular monitoring of tropical rainforests is important for conservation
and management of highly fragmented tropical rainforest habitats and biodiversity. Several …

Cotton classification method at the county scale based on multi-features and random forest feature selection algorithm and classifier

H Fei, Z Fan, C Wang, N Zhang, T Wang, R Chen… - Remote Sensing, 2022 - mdpi.com
Accurate cotton maps are crucial for monitoring cotton growth and precision management.
The paper proposed a county-scale cotton map** method by using random forest (RF) …

Modern pollen dispersal studies in India: a detailed synthesis and review

MF Quamar, R Kar - Palynology, 2020 - Taylor & Francis
Modern pollen dispersal studies from the phytogeographically and climatically different
regions [the Peninsular and extra-Peninsular regions (the Himalaya), the Ganga …

[HTML][HTML] Exploring the nexus between Indian forestry and the sustainable development goals

G Dandabathula, SR Chintala, S Ghosh… - Regional …, 2021 - Elsevier
Forests are considered as a sacred asset in India and have guided the way of living
throughout its history. Indian forests not only accommodate the myriad species but also act …

Improving forest above ground biomass estimates over Indian forests using multi source data sets with machine learning algorithm

R Fararoda, RS Reddy, G Rajashekar, TRK Chand… - Ecological …, 2021 - Elsevier
Accurate estimates of spatial above ground biomass (AGB) in tropical forests are important
in understanding the global carbon cycle. Microwave and optical remote sensing datasets …

Automated map** for long-term analysis of shifting cultivation in Northeast India

P Das, S Mudi, MD Behera, SK Barik, DR Mishra… - Remote Sensing, 2021 - mdpi.com
Assessment of the spatio-temporal dynamics of shifting cultivation is important to understand
the opportunities for land restoration. The past studies on shifting cultivation map** of …

Assessing the predictive efficacy of six machine learning algorithms for the susceptibility of Indian forests to fire

LK Sharma, R Gupta, N Fatima - International Journal of …, 2022 - CSIRO Publishing
Increasing numbers and intensity of forest fires indicate that forests have become
susceptible to fires in the tropics. We assessed the susceptibility of forests to fire in India by …

Modeling and prediction of fire occurrences along an elevational gradient in Western Himalayas

S Bar, BR Parida, AC Pandey, BU Shankar, P Kumar… - Applied geography, 2023 - Elsevier
Forest fires are the result of complex interactions among human, geographic and weather
conditions. Climate change would alter the link between forest fire and the controlling …

Investigation of forest fire activity changes over the central India domain using satellite observations during 2001–2020

M Jain, P Saxena, S Sharma, S Sonwani - GeoHealth, 2021 - Wiley Online Library
Recurrent and large forest fires negatively impact ecosystem, air quality, and human health.
Moderate Resolution Imaging Spectroradiometer fire product is used to identify forest fires …

Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India

S Jha, J Das, A Sharma, B Hazra, MK Goyal - Global and Planetary …, 2019 - Elsevier
Vegetation distribution and growth are significantly affected by changing climate conditions.
Understanding the response of vegetation to hydroclimatic disturbances such as droughts is …