Extraction of crop acreage based on multi-temporal and dual-polarization SAR data

Crop Land Change Monitoring Based on Deep Learning Algorithm Using Multi-temporal Hyperspectral Images

Change detection is done with the purpose of analyzing two or more images of a region that has been obtained at different times which is Generally one of the most important applications of satellite imagery is urban development, environmental inspection, agricultural monitoring, hazard assessment, and natural disaster. The purpose of using deep learning algorithms, in particular, convolutional ...

Urban monitoring using multi-temporal SAR and multi-spectral data

In some key operational domains, the joint use of synthetic aperture radar (SAR) and multi-spectral sensors has shown to be a powerful tool for Earth observation. In this paper, we analyze the potentialities of combining interferometric SAR and multi-spectral data for urban area characterization and monitoring. This study is carried out following a standard multi-source processing chain. First,...

Assessment of L-band Sar Data at Different Polarization Combinations for Crop and Other Landuse Classification

In the present study evaluation of L-band SAR data at different polarization combinations in linear, circular as well as hybrid polarimetric imaging modes for crop and other landuse classifications has been carried out. Full-polarimetric radar data contains all the scattering information for any arbitrary polarization state, hence data of any combination of transmit and receive polarizations ca...

The Use of Modis Data in Southern Russia for Crop Acreage Estimations and Inter-comparison of Results from Various Crop Acreage Estimation Methods

The first part of this paper presents a methodology on crop acreage estimations using the MODIS 16-day composite NDVI product. Particular emphasis is placed on a good quality crop mask and a good quality validation dataset. A novel approach which is based on the sampling of pure fields has been developed. The novel approach has been tested in previous work using a traditional maximum likelihood...

Estimation of Cultivated Areas Using Multi-Temporal SAR Data