Poortinga et al., 2020 - Google Patents
Predictive analytics for identifying land cover change hotspots in the mekong regionPoortinga et al., 2020
View HTML- Document ID
- 7951656152219921837
- Author
- Poortinga A
- Aekakkararungroj A
- Kityuttachai K
- Nguyen Q
- Bhandari B
- Soe Thwal N
- Priestley H
- Kim J
- Tenneson K
- Chishtie F
- Towashiraporn P
- Saah D
- Publication year
- Publication venue
- Remote Sensing
External Links
Snippet
Understanding land cover change dynamics and potential pathways of change is of critical importance for sustainable resource management, to promote food security and resilience on a range of spatial scales. Data scarcity is a key concern, however, with the availability of …
- 238000010801 machine learning 0 abstract description 19
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- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
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