Applications of Machine Learning and Remote Sensing in Soil and Water Conservation
The application of machine learning (ML) and remote sensing (RS) in soil and water conservation has become a powerful tool. As analytical tools continue to advance, the variety of ML algorithms and RS sources has expanded, providing opportunities for more sophisticated analyses. At the same time, re...
Saved in:
| Main Authors: | Ye Inn Kim, Woo Hyeon Park, Yongchul Shin, Jin-Woo Park, Bernie Engel, Young-Jo Yun, Won Seok Jang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Hydrology |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5338/11/11/183 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
From satellite data to operational conservation tools
by: Henrike Schulte to Bühne
Published: (2019-04-01) -
Assessing the Impact of Conservation Practices on Post-Wildfire Recovery of Evergreen and Conifer Forests Using Remote Sensing Data
by: Shima Bahramvash Shams, et al.
Published: (2025-02-01) -
A Neighborhood Approach for Using Remotely Sensed Data to Estimate Current Ranges for Conservation Assessments
by: Bethany A. Johnson, et al.
Published: (2025-07-01) -
Spatial-temporal assessment of Uaymil Protected Area conservation status using an ecosystem quality index from 2000-2023
by: Leider Gemali Coba, et al.
Published: (2025-05-01) -
Research Progress on Identification and Extraction Methods of Soil and Water Conservation Measures
by: TIAN Pei, et al.
Published: (2024-10-01)