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Towards an Operational SAR-Based Rice Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project
TLDR
Rice is the most important food security crop in Asia. Expand
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Automatic Spectral-Rule-Based Preliminary Classification of Radiometrically Calibrated SPOT-4/-5/IRS, AVHRR/MSG, AATSR, IKONOS/QuickBird/OrbView/GeoEye, and DMC/SPOT-1/-2 Imagery—Part I: System
TLDR
This paper highlights the degree of novelty of an operational near-real-time well-posed model-driven application-independent per-pixel Landsat-like spectral-rule-based decision-tree classifier (LSRC) recently presented in RS literature. Expand
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Automatic Spectral Rule-Based Preliminary Classification of Radiometrically Calibrated SPOT-4/-5/IRS, AVHRR/MSG, AATSR, IKONOS/QuickBird/OrbView/GeoEye, and DMC/SPOT-1/-2 Imagery—Part II:
TLDR
In Part I of this paper, an operational fully automated Landsat-like image spectral rule-based decision-tree classifier (LSRC), suitable for mapping radiometrically calibrated seven-band Landsat images into a discrete and finite set of spectral categories, has been downscaled to properly deal with spaceborne multispectral imaging sensors whose spectral resolution overlaps with, but is inferior to Landsat's. Expand
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Detection of Windthrow in Mountainous Regions with Different Remote Sensing Data and Classification Methods
After a disastrous storm event, quick and reliable information on the extent of forest damage is required. This study evaluated different remote sensing data and methods to detect windthrown forestsExpand
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Assessing the utility of ALOS PALSAR and SPOT 4 to predict timber volumes in even-aged Eucalyptus plantations located in Zululand, South Africa
In commercial forestry, regular terrestrial enumerations of the growing stock are required for the valuation, sustain-able management and planning of current and future timber supplies. In this studyExpand
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An operational remote sensing based service for rice production estimation at national scale
One goal of the Remote Sensing based Information and Insurance for Crops in emerging Economies (RIICE) project is to estimate, on an operational basis, rice production at national scale in primisExpand
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Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model
TLDR
Crop insurance is a viable solution to reduce the vulnerability of smallholder farmers to risks from pest and disease outbreaks, extreme weather events, and market shocks that threaten their household food and income security. Expand
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Geometric and Radiometric Calibration of RADARSAT Images
Interpretation of SAR images in areas with significant relief requires rigorous calibration considering local illuminated area and incidence angle effects if one is to be able to perform meaningfulExpand
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First results on road network extraction and fusion on optical and SAR images using a multi-scale adaptive approach
TLDR
We introduce a unitary approach to road extraction in wide area images, obtained by means of satellite sensors in both the optical/infrared and microwave domains. Expand
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