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Timely availability of crop acreage estimation is crucial for maintaining economic and ecological sustainability or modelling purposes. Remote sensing data has proven to be a reliable source for crop ...
Rice is globally the most important food crop, feeding approximately half of the world’s population, especially in Asia where around half of the world’s poorest people live. Thus, advanced spatiotempo...
The agricultural sector is in a unique position due to its strategic importance around the world. It is crucial for both citizens (consumers) and the economy (both regional and global), which, ideally...
Satellite based earth observation (EO) platforms have proved capability to spatio-temporally monitor changes on the earth's surface. Long term satellite missions have provided huge repository of optic...
The Japanese ALOS-2 satellite was launched on May 24th, 2014. It has the L-band SAR, PALSAR-2. Kim,Y. and van Zyl, J.J. proposed a kind of Radar Vegetation Index (RVI) as RVI = 8 * σ0hv / (σ0hh + σ0vv...
Rice is the most important food crop in Vietnam, providing food more than 90 million people and is considered as an essential source of income for majority of rural populations. Monitoring rice-growin...
In this study, first results of retrieving plant heights of maize fields from multitemporal TanDEM-X images are shown. Three TanDEM-X dual polarization spotlight acquisitions were taken over a rural a...
This paper presents a method to estimate the temporal interaction in a Conditional Random Field (CRF) based approach for crop recognition from multitemporal remote sensing image sequences. This approa...
Crop growth means the growth of cereal crop seedlings, as well as the status and trend of their growth. It has been one of the most important aspects of agricultural remote sensing in the last twenty ...
Cultivated land has been feeding the world for thousands of years. Only in the last few decades, remote sensing is used to assess and monitor the extent and status of cultivated land. One of the great...
Sampling methods have to be applied in agricultural condition monitoring at national scale. When selecting sampling methods, more attention needs to be paid not only to objects monitored, but also to ...
Natural resources management and environment follow up (mapping of cropland, delimitation of areas which are sensitive to desertification, fight of poverty, etc.) need appropriate decisions to be made...
Many authors explored the use of multi-temporal images, recorded within a season or across years, for (i) ecosystem monitoring, (ii) land cover (crop) identification, and (iii) change detection(Copin ...
This paper reviews the application of fuzzy theory and its combination with artificial neural-network technology for remote sensing information extraction. A dynamic fuzzy neural-network model is pres...
The experiments were conducted for monitoring crop area by spatial sampling methods in a winter wheat main production region with a size of 42Km×42Km in Hengshui City, Hebei Province in China to optim...

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