Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA-Reference-Cited by-同舟云学术

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Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA

Published:2024-05-09 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Oliphant Adam J.¹,Thenkabail Prasad S.¹,Teluguntla Pardhasaradhi G.²,Aneece Itiya P.¹,Foley Daniel J.¹,McCormick Richard L.³

Affiliation:

1. U.S. Geological Survey (USGS), Western Geographic Science Center, Flagstaff, AZ, USA

2. Bay Area Environmental Research Institute (BAERI), Moffett Field, CA, USA

3. College of the Environment, Forestry, and Natural Sciences, Northern Arizona University (NAU), Flagstaff, AZ, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2337221

Reference80 articles.

1. NAIP Digital Ortho Photo Image Geospatial_Data_Presentation_Form: remote-sensing image;Aerial Photography Field Office;West Virginia GIS Tech Center. Dataset. https://hdl.handle.net/10113/AA23492 Last accessed [4/12/2024],2021

2. Land Surface Phenologies and Seasonalities in the US Prairie Pothole Region Coupling AMSR Passive Microwave Data with the USDA Cropland Data Layer

3. Human drivers, biophysical changes, and climatic variation affecting contemporary cropping proportions in the northern prairie of the U.S

4. Satellite mapping of tillage practices in the North Central US region from 2005 to 2016

5. Seasonal crop yield forecast: Methods, applications, and accuracies

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