Hotspot maps of losses and gains in built-up and cropland areas within the Congo Basin under six land cover change periods (1990–2000, 2000–2010, 2010–2020, and 2020–2050 under three climate change scenarios: SSP1-2.6, SSP2-4.5, and SSP5-8.5).

<p>a-f show loss and gains in built-up areas while g-l show loss and gains in cropland areas. Map generated with the RF Machine learning model, using the UUSGS Landsat 5 and 7 Collection 2 Level 2 data, freely available for public use with no data restrictions nor permissions required: <a h...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Yisa Ginath Yuh (20370814) (author)
مؤلفون آخرون:	Kouamé Paul N’Goran (20370817) (author), Angela Kross (19773221) (author), Marco Heurich (676039) (author), H. Damon Matthews (14826542) (author), Sarah E. Turner (8478309) (author)
منشور في:	2024
الموضوعات:	Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified supervised classification algorithm quantify decadal changes markov chain algorithms machine learning algorithms human population growth google earth engine 2000 – 2010 spatial modeling tools quantitative results required 2010 – 2020 1990 – 2000 monitoring forest cover dense forest cover e ., 174 div >< p 7 – 4 5 ), suggesting 3 – 12 forest degradation within 1990 – 2020 totaling approximately 8 land use change 860 – 204 2 </ sup forest cover land use approximately 12 forest degradation provide spatial climate change 860 km random forest forest fragmentation projected 3 year period validated results supporting long study represents region ’ reduce emissions novel application many endemic global hotspot endangered species effective planning congo basin assessing long 938 km 803 km 658 km 642 km 608 km 502 km 161 km 046 km
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Hotspot maps of losses and gains in built-up and cropland areas within the Congo Basin under six land cover change periods (1990–2000, 2000–2010, 2010–2020, and 2020–2050 under three climate change scenarios: SSP1-2.6, SSP2-4.5, and SSP5-8.5).

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