P. Srivastava

发表

Tree's detection & health's assessment from ultra-high resolution UAV imagery and deep learning

G. Petropoulos, A. Anand, D. Kalivas, 2022, Geocarto International.

Statistical Unfolding Approach to Understand Influencing Factors for Taxol Content Variation in High Altitude Himalayan Region

Prashant K. Srivastava, G. Petropoulos, Prachi Singh, 2021 .

Development of hyperspectral indices for anti-cancerous Taxol content estimation in the Himalayan region

A. Anand, M. Pandey, K. Shanker, 2021, Geocarto International.

Assessment of tropical cyclone amphan affected inundation areas using sentinel-1 satellite data

J. Dash, P. Roy, M. D. Behera, 2021, Tropical Ecology.

Spectral Mixture Analysis Of Aviris-Ng Data For Grouping Plant Functional Types

Prashant K. Srivastava, Ramandeep Kaur M. Malhi, G. Sandhya Kirana, 2022, Advances in Space Research.

SMAP Soil Moisture Product Assessment over Wales, U.K., Using Observations from the WSMN Ground Monitoring Network

G. Petropoulos, R. Prasad, D. Gupta, 2021, Sustainability.

A hyperspectral R based leaf area index estimator: model development and implementation using AVIRIS-NG

R. Prasad, R. Mall, B. Bhattacharya, 2022 .

Crop type discrimination using Geo-Stat Endmember Extraction and machine learning algorithms

Prashant K. Srivastava, J. Verrelst, R. Prasad, 2022, Advances in Space Research.

Passive Only Microwave Soil Moisture Retrieval in Indian Cropping Conditions: Model Parameterization and Validation

P. O’neill, R. Prasad, D. Gupta, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Characterization and assessment of hydrological droughts using GloFAS streamflow data for the Narmada River Basin, India.

A. Pandey, S. Swain, S. Nandi, 2023, Environmental science and pollution research international.

Synergetic use of in situ and hyperspectral data for mapping species diversity and above ground biomass in Shoolpaneshwar Wildlife Sanctuary, Gujarat

Ramandeep Kaur M. Malhi, A. Anand, Ashwini N. Mudaliar, 2020, Tropical Ecology.

Seeing from space makes sense: Novel earth observation variables accurately map species distributions over Himalaya.

Prashant K. Srivastava, M. Pandey, K. V. Satish, 2022, Journal of environmental management.

Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India

Prashant K. Srivastava, C. Jeganathan, P. Roy, 2022, Remote. Sens..

Assessing the niche of Rhododendron arboreum using entropy and machine learning algorithms: role of atmospheric, ecological, and hydrological variables

A. Anand, M. L. Khan, M. D. Behera, 2022, Journal of Applied Remote Sensing.

Integrating Multi-Sensors Data for Species Distribution Mapping Using Deep Learning and Envelope Models

Akash Anand, Manish Kumar Pandey, Prashant K. Srivastava, 2021, Remote. Sens..

Changes in Extremes Rainfall Events in Present and Future Climate Scenarios over the Teesta River Basin, India

R. Mall, P. K. Chaubey, P. Srivastava, 2023, Sustainability.

Spaceborne Multifrequency PolInSAR-Based Inversion Modelling for Forest Height Retrieval

Praveen K. Thakur, S. P. S. Kushwaha, Himanshu Govil, 2020, Remote. Sens..

Nitrogen dioxide as proxy indicator of air pollution from fossil fuel burning in New Delhi during lockdown phases of COVID-19 pandemic period: impact on weather as revealed by Sentinel-5 precursor (5p) spectrometer sensor

M. Drews, Pavan Kumar, J. Biswas, 2023, Environment, development and sustainability.

Leaf chlorophyll content retrieval for AVIRIS-NG imagery using different feature selection and wavelet analysis

R. Prasad, R. Dave, Prachi Singh, 2023, Advances in Space Research.

Development of High-Resolution Soil Hydraulic Parameters with Use of Earth Observations for Enhancing Root Zone Soil Moisture Product

R. Bindlish, M. Gupta, Juby Thomas, 2023, Remote Sensing.

Evaluating the Performance of PRISMA Shortwave Infrared Imaging Sensor for Mapping Hydrothermally Altered and Weathered Minerals Using the Machine Learning Paradigm

H. Govil, M. Gupta, Neelam Agrawal, 2023, Remote Sensing.

Spatial distribution of mangrove forest species and biomass assessment using field inventory and earth observation hyperspectral data

Akash Anand, Prem Chandra Pandey, Prashant K. Srivastava, 2019, Biodiversity and Conservation.

Performance assessment of the Sentinel-2 LAI products and data fusion techniques for developing new LAI datasets over the high-altitude Himalayan forests

G. Petropoulos, M. Pandey, Sanjeev Srivastava, 2023, Geocarto International.

Retrieval and Validation of Sentinel 2 LAI Product: A Comparison with Global Products Over High-Altitude Himalayan Forests

Prashant K. Srivastava, V. K. Kumra, V. Dugesar, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

High resolution retrieval of leaf chlorophyll content over Himalayan pine forest using Visible/IR sensors mounted on UAV and radiative transfer model

J. Verrelst, R. Prasad, R. Mall, 2023, Ecol. Informatics.

An Integrated Spatiotemporal Pattern Analysis Model to Assess and Predict the Degradation of Protected Forest Areas

George P. Petropoulos, Akash Anand, Christos Chalkias, 2020, ISPRS Int. J. Geo Inf..

Retrieval of Leaf Area Index Using Inversion Algorithm

Prashant K. Srivastava, R. Prasad, Prachi Singh, 2022, 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Retrieval of Leaf Chlorophyll Content using Drone Imagery and Fusion with Sentinel-2 data

P. Srivastava, Priyanka, Roohi Rawat, 2023, Smart Agricultural Technology.

Long-Term Spatiotemporal Investigation of Various Rainfall Intensities over Central India Using EO Datasets

G. Petropoulos, Sartajvir Singh, J. N. Tripathi, 2024, Hydrology.

An improved volume power approach to estimate LAI from optimized dual-polarized SAR decomposition

R. Prasad, Shubham Singh, P. Srivastava, 2023, International Journal of Remote Sensing.