Keywords:
remote sensing
;
hyperspectral
;
crop production
;
crop monitoring
;
crop mapping
;
leaf nitrogen content
;
leaf area index
;
yield
;
spectral indices
;
MODIS
;
synthetic aperture radar
Description / Table of Contents:
Accurate and timely information of crop growth and conditions is critical for precision farming, crop management, crop yield estimation, crop disaster early warning and mitigation, agricultural production planning, crop commodity trading, and food security decision support. Recent advances in imaging and non-imaging sensor technologies, remote sensing platforms, and satellite data availability have provided new opportunities and challenges, and have resulted in many new investigations and much progress in crop growth monitoring. Ground-based millimeter-level very high spatial resolution hyperspectral imaging, which is acquired from sensors, such as ImSpectorV10E (SpecIm, Spectral Imaging Ltd., Finland) and HySpec VNIR-1600 (Norsk Elektro Optikk, Norway), enables us to discern the within-canopy and within-leaf variation in crop conditions in target fields. Affordable low-weight multispectral/hyperspectral sensors on unmanned aerial systems (UAVs) and/or regular aircrafts have significantly improved the efficiency and effectiveness in monitoring within- and between-field variations in crop growth. The recent very-high-resolution satellite imagery, acquired typically in sub-meter to 5 meter resolution, such as WorldView-2, Pleiades-1, IKONOS, and RapidEye, has brought us into a new phase of remote sensing for precision crop management over large farming areas. The freely available satellite data from sensors, such as MODIS, NPP VIIRS, and Landsat, have greatly facilitated large scale (i.e., regional or even global level) crop growth monitoring.
Pages:
Online-Ressource (XX, 386 Seiten)
Edition:
Printed Edition of the Special Issue Published in Remote Sensing
ISBN:
9783038422273
URL:
http://www.mdpi.com/books/pdfview/book/218
Language:
English
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