Fallow-land Algorithm based on Neighborhood and Temporal Anomalies (FANTA) to map planted versus fallowed croplands using MODIS data to assist in drought studies leading to water and food security assessments-Reference-Cited by-同舟云学术

Fallow-land Algorithm based on Neighborhood and Temporal Anomalies (FANTA) to map planted versus fallowed croplands using MODIS data to assist in drought studies leading to water and food security assessments

Published:2017-03-04 Issue:2 Volume:54 Page:258-282
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Wallace Cynthia S.A.¹,Thenkabail Prasad²,Rodriguez Jesus R.³,Brown Melinda K.⁴

Affiliation:

1. Western Geographic Science Center, U.S. Geological Survey, Tucson, AZ 85719, USA

2. Western Geographic Science Center, U.S. Geological Survey, Flagstaff, AZ 86001, USA

3. Department of Agricultural and Biosystems Engineering, The University of Arizona, Tucson, AZ 85721, USA

4. ESRI, Charlotte, NC, 28226, USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2017.1290913

Reference24 articles.

1. Bates, B. C., Z. W. Kundzewicz, S. Wu, and J. P. Palutikof, eds. 2008. “Climate Change and Water. IPCC Technical Paper VI. Geneva, Switzerland: Intergovernmental Panel on Climate Change, 29 and 70.

2. Corn and Soybean Mapping in the United States Using MODIS Time‐Series Data Sets

3. The responses of vegetation water content (EWT) and assessment of drought monitoring along a coastal region using remote sensing

4. How unusual is the 2012-2014 California drought?

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