[PDF][PDF] Advances in radar remote sensing of agricultural crops: a review
T Sivasankar, D Kumar, HS Srivastava… - Int. J. Adv. Sci. Eng. Inf …, 2018 - core.ac.uk
There are enormous advantages of a review article in the field of emerging technology like
radar remote sensing applications in agriculture. This paper aims to report select recent …
radar remote sensing applications in agriculture. This paper aims to report select recent …
Retrieval of agricultural crop height from space: A comparison of SAR techniques
This paper deals with the retrieval of agricultural crop height from space by using
multipolarization Synthetic Aperture Radar (SAR) images. Coherent and incoherent crop …
multipolarization Synthetic Aperture Radar (SAR) images. Coherent and incoherent crop …
Paddy-rice monitoring using TanDEM-X
This paper evaluates the potential of spaceborne bistatic interferometric synthetic aperture
radar images for the monitoring of biophysical variables in wetlands, with a special interest …
radar images for the monitoring of biophysical variables in wetlands, with a special interest …
Synergetic utilization of sentinel-1 SAR and sentinel-2 optical remote sensing data for surface soil moisture estimation for Rupnagar, Punjab, India
A Tripathi, RK Tiwari - Geocarto International, 2022 - Taylor & Francis
Due to improper agricultural and soil management, there has been a drop in crop yield over
the last few years and food security has become a major issue. For a country like India, with …
the last few years and food security has become a major issue. For a country like India, with …
A simplified subsurface soil salinity estimation using synergy of SENTINEL‐1 SAR and SENTINEL‐2 multispectral satellite data, for early stages of wheat crop growth …
A Tripathi, RK Tiwari - Land Degradation & Development, 2021 - Wiley Online Library
Soil salinity has become a highly disastrous phenomenon responsible for crop failure
worldwide, especially in countries with low farmer incomes and food insecurity. Soil salinity …
worldwide, especially in countries with low farmer incomes and food insecurity. Soil salinity …
Wheat crop biophysical parameters retrieval using hybrid-polarized RISAT-1 SAR data
The main goal of this study was to assess the potential of SAR backscatter signatures (RH
and RV) retrieved from hybrid-polarized RISAT-1 SAR data in providing relevant information …
and RV) retrieved from hybrid-polarized RISAT-1 SAR data in providing relevant information …
[HTML][HTML] Analyzing Temporal Characteristics of Winter Catch Crops Using Sentinel-1 Time Series
S Selvaraj, D Bargiel, A Htitiou, H Gerighausen - Remote Sensing, 2024 - mdpi.com
Catch crops are intermediate crops sown between two main crop cycles. Their adoption into
the cropping system has increased considerably in the last years due to its numerous …
the cropping system has increased considerably in the last years due to its numerous …
A novel approach to use semantic segmentation based deep learning networks to classify multi-temporal SAR data
The use of SAR data for land cover mapping provides many advantages over land cover
classification achieved using optical remote sensing data. However, the classification of …
classification achieved using optical remote sensing data. However, the classification of …
[PDF][PDF] Comparative evaluation of the sensitivity of multi-polarized SAR and optical data for various land cover classes
S Chauhan, HS Srivastava - Int. J. Adv. Remote Sens. GIS …, 2016 - research.utwente.nl
The availability of reliable and timely land cover information is the basis to have sound
economic planning and resource management for a modern nation like India. In this study …
economic planning and resource management for a modern nation like India. In this study …
Vegetation type and land cover mapping in a semi-arid heterogeneous forested wetland of India: comparing image classification algorithms
K Deval, PK Joshi - Environment, Development and Sustainability, 2022 - Springer
The present study evaluates and compares performance of three supervised classification
algorithms namely Maximum Likelihood (MXL), Artificial Neural Network (ANN) and Support …
algorithms namely Maximum Likelihood (MXL), Artificial Neural Network (ANN) and Support …