Ram P. Sharma

ICAR-National Bureau of Soil Survey and Land Use Planning — India

Environmental Science · Physical Sciences

35h-index3.8kcitations217works1.22yr avg
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Research Topics

Forest ecology and management(99), Remote Sensing and LiDAR Applications(58), Tree Root and Stability Studies(36), Plant Water Relations and Carbon Dynamics(23), Forest Management and Policy(22)

Publications216 total

Probabilistic disaggregation of legacy soil maps using DSMART: a multi-realization framework for soil classification
Discover Soil.·2026Open Access
Spatial Prediction of Soil pH Through Machine Learning Algorithm: A Modeling Framework for Regional Soil Fertility Management
Communications in Soil Science and Plant Analysis·2026
Developing mixed-effects height-diameter model using stand and environmental factors for mixed forests in northern China
iScience·2025Open Access
Environmental contingency of forest-cloud interactions: Contrasting atmospheric enhancement and suppression mechanisms across Chinese climate gradients
Trees Forests and People·2025Open Access
Soil organic carbon mapping in India’s black soil region through machine learning
International Journal of Advanced Biochemistry Research·2025Open Access
Developing compatibility biomass model based on UAV LiDAR data of Chinese fir (Cunninghamia lanceolata) in Southern China
Frontiers in Plant Science·2025Open Access
Submission ID# 1906892 Spinal cord recordings for use in neuroprosthetics
Neuromodulation Technology at the Neural Interface·2025
Overcoming data scarcity in soil depth prediction: A machine learning approach for India’s Black Soil Region (BSR)
International Journal of Research in Agronomy·2025
Mapping species-specific aboveground forest biomass for Guangxi using wall-to-wall airborne laser scanning data
Ecological Indicators·2025· 1 citedOpen Access
Ethical and Regulatory Considerations of Cell-Based Therapies
2025
Developing a generalized nonlinear mixed-effects biomass model at stand-level under different age conditions for Chinese fir based on LiDAR and ground survey data in southern China
Frontiers in Plant Science·2025· 3 citedOpen Access
Forest Site Quality Evaluation Using UAV Remote Sensing Technology
Preprints.org·2025Open Access
Climate sensitive mixed-effects dominant height model for moso bamboo in China
Tropical Ecology·2025
Developing mixed-effects aboveground biomass model using biotic and abiotic variables for moso bamboo in China
Journal of Environmental Management·2025· 1 cited
An Analysis of Spatial Variation in Human Impact on Forest Ecological Functions
Applied Sciences·2025Open Access
Forest site classification and grading using mixed-variables clustering and nonlinear mixed-effects modeling based on forest inventory data
Forestry An International Journal of Forest Research·2025Open Access
Estimating area, standing carbon stock, and potential carbon stock of degraded forests in China
Forest Ecosystems·2025· 1 citedOpen Access
Random effects and environmental sensitivity improve the compatible biomass model systems of moso bamboo forests in Southern China
Ecological Indicators·2025· 2 citedOpen Access
Development of Full Growth Cycle Crown Width Models for Chinese Fir (Cunninghamia lanceolata) in Southern China
Forests·2025· 1 citedOpen Access
Environmental Contingency of Forest-Cloud Interactions: Contrasting Atmospheric Enhancement and Suppression Mechanisms Across Chinese Climate Gradients
SSRN Electronic Journal·2025Open Access
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Frequent Co-authors

Liyong Fu(14), Zdeněk Vacek(13), Stanislav Vacek(13), Yuancai Lei(5), Shouzheng Tang(5), Qingwang Liu(5), Guangshuang Duan(5), Udo Schumacher(4), J. Malcolm East(4), Qiao Chen(4), Huiru Zhang(3), Guangxing Wang(3), Miloš Kučera(3), Ian Matthews(3), Qiaolin Ye(3), Hua Sun(2), Anthony G. Lee(2), Andreas Brunner(2), Tron Eid(2), Charles Fowles(2)