Assessing the potentials of multi-temporal sentinel-1 SAR data for paddy yield forecasting using artificial neural network
Accurate yield estimation of paddy crop plays an important role in forecasting paddy
productivity for ensuring regional or national food security of the country. Although the crop …
productivity for ensuring regional or national food security of the country. Although the crop …
SAR polarimetric analysis for major land covers including pre-monsoon crops
The potential of single date fully polarimetric SAR data was brought out in discriminating
different land covers at level 3 (LULC classification system NRSC) by deriving various …
different land covers at level 3 (LULC classification system NRSC) by deriving various …
Pearl millet crop biophysical parameter retrieval from space borne polarimetric SAR data using machine learning
The potential of single date fully Polarimetric RADARSAT‐2 data in retrieving crop
biophysical parameters using Machine Learning techniques was investigated. Various …
biophysical parameters using Machine Learning techniques was investigated. Various …
Crop height estimation using RISAT-1 hybrid-polarized synthetic aperture radar data
S Chauhan, HS Srivastava… - IEEE Journal of Selected …, 2019 - ieeexplore.ieee.org
The objective of this paper was to explore the potential of hybrid-polarized (RH and RV)
RISAT-1 SAR data to retrieve the height of wheat crop-an important winter crop in South …
RISAT-1 SAR data to retrieve the height of wheat crop-an important winter crop in South …
Evaluation of multi-temporal Sentinel-1 dual polarization SAR data for crop type classification
T Sivasankar, PK Sharma, MNS Ramya… - … Information Science for …, 2020 - igi-global.com
India is one of the highly populated countries, and its economy mainly depends on
agriculture. The crop type classification is an essential requirement for ensuring food …
agriculture. The crop type classification is an essential requirement for ensuring food …
[PDF][PDF] A Comparative Study and Machine Learning Enabled Efficient Classification for Multispectral Data in Agriculture
Reliable and accurate crop maps are required for food security from regional to global scale.
The increased availability of satellite imagery leads to a “Big Data” problem while producing …
The increased availability of satellite imagery leads to a “Big Data” problem while producing …
[PDF][PDF] 基于EnMAP 卫星和深度神经网络的LAI 遥感反演方法
李雪玲， 董莹莹， 朱溢佞， 黄文江 - 红外与毫米波学报, 2019 - researching.cn
区域叶面积指数(Leaf Area Index, LAI) 定量反演是开展大尺度农作物长势监测和产量估算的
重要基础. 针对当前区域LAI 遥感定量反演存在的反演精度不理想和模型稳定性弱等问题 …
重要基础. 针对当前区域LAI 遥感定量反演存在的反演精度不理想和模型稳定性弱等问题 …
Leaf area index estimation with EnMAP hyperspectral data based on deep neural network
李雪玲， 董莹莹， 朱溢佞， 黄文江 - Journal of Infrared and …, 2019 - journal.sitp.ac.cn
区域叶面积指数 (Leaf Area Index, LAI) 定量反演是开展大尺度农作物长势监测和产量估算的
重要基础. 针对当前区域 LAI 遥感定量反演存在的反演精度不理想和模型稳定性弱等问题 …
重要基础. 针对当前区域 LAI 遥感定量反演存在的反演精度不理想和模型稳定性弱等问题 …