A Holistic View of Global Croplands and Their Water Use for Ensuring Global Food Security in the 21st Century through Advanced Remote Sensing and Non-remote Sensing Approaches
about
Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) dataNominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth EngineFROM-GC: 30 m global cropland extent derived through multisource data integrationA new research paradigm for global land cover mapping
P2860
A Holistic View of Global Croplands and Their Water Use for Ensuring Global Food Security in the 21st Century through Advanced Remote Sensing and Non-remote Sensing Approaches
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована в січні 2010
@uk
name
A Holistic View of Global Crop ...... Non-remote Sensing Approaches
@en
A Holistic View of Global Crop ...... Non-remote Sensing Approaches
@nl
type
label
A Holistic View of Global Crop ...... Non-remote Sensing Approaches
@en
A Holistic View of Global Crop ...... Non-remote Sensing Approaches
@nl
prefLabel
A Holistic View of Global Crop ...... Non-remote Sensing Approaches
@en
A Holistic View of Global Crop ...... Non-remote Sensing Approaches
@nl
P2093
P2860
P356
P1433
P1476
A Holistic View of Global Crop ...... Non-remote Sensing Approaches
@en
P2093
Munir Hanjra
Muralikrishna Gumma
Venkateswarlu Dheeravath
P2860
P304
P356
10.3390/RS2010211
P577
2010-01-04T00:00:00Z