A new remote sensing method to map field- scale time-series wheat without training data in Bulgaria-Reference-Cited by-同舟云学术

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A new remote sensing method to map field- scale time-series wheat without training data in Bulgaria

Published:2024-07-07 Issue: Volume: Page:1950-1953
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Phalke Aparna R.¹,Özdoğan Mutlu²,Filchev Lachezar H.³

Affiliation:

1. Earth System Science Center, The University of Alabama in Huntsville,Huntsville,AL,USA

2. Nelson Institute Center for Sustainability and the Global Environment, University of Wisconsin-Madison,Madison,WI,USA

3. Space Research and Technology Institute, Bulgarian Academy of Sciences,Sofia,Bulgaria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642276.pdf?arnumber=10642276

Reference8 articles.

1. Remote Sensing of Irrigated Agriculture: Opportunities and Challenges

2. Current status of Landsat program, science, and applications

3. Forest mapping with a generalized classifier and Landsat TM data

4. Large area cropland extent mapping with Landsat data and a generalized classifier

5. Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine

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