Historical Trajectory in Vegetation Cover in Northeastern Namibia Based on AVHRR Satellite Imagery (1982–2015)
The negative impact of the reduction of vegetation cover is already being felt in the Zambezi Region in northeastern Namibia. The region has been undergoing various land cover changes in the past decades. To understand the historical trend of vegetation cover (increase or decrease), we analyzed 8-km...
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MDPI AG
2019-10-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/8/11/160 |
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| author | Augustine-Moses Gaavwase Gbagir Yitagesu Tekle Tegegne Alfred Colpaert |
| author_facet | Augustine-Moses Gaavwase Gbagir Yitagesu Tekle Tegegne Alfred Colpaert |
| author_sort | Augustine-Moses Gaavwase Gbagir |
| collection | DOAJ |
| description | The negative impact of the reduction of vegetation cover is already being felt in the Zambezi Region in northeastern Namibia. The region has been undergoing various land cover changes in the past decades. To understand the historical trend of vegetation cover (increase or decrease), we analyzed 8-km resolution Global Inventory Monitoring and Modeling Studies (GIMMS) from the Advanced Very High Resolution Radiometer (AVHRR) and 0.25° × 0.25° (resampled to 8 km) resolution Global Precipitation Climatology Center (GPCC). We used the Time Series Segmented Residual Trends (TSS-RESTREND) method. We found that the general trajectory of vegetation cover was negative. Pixel-wise analysis and visual interpretation of historical images both revealed clear signs of vegetation cover change. We observed a single breakpoint in the vegetation trajectory which correlated to the 1991−1992 drought in southern Central Africa. Potential drivers of land cover change are the (il)legal expansion of subsistence farming, population growth, and wood extraction. These findings will serve as a reference for decision makers and policymakers. To better understand the human-induced land cover change at the micro scale and sub-regional level, we recommend using higher resolution remote sensing datasets and historical documents to assess the effect of demographic change, disease, civil unrest, and war. |
| first_indexed | 2024-04-12T20:31:39Z |
| format | Article |
| id | doaj.art-9c154bf2d03249a3afabe174fe112fa6 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-04-12T20:31:39Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-9c154bf2d03249a3afabe174fe112fa62022-12-22T03:17:43ZengMDPI AGLand2073-445X2019-10-0181116010.3390/land8110160land8110160Historical Trajectory in Vegetation Cover in Northeastern Namibia Based on AVHRR Satellite Imagery (1982–2015)Augustine-Moses Gaavwase Gbagir0Yitagesu Tekle Tegegne1Alfred Colpaert2Department of Geographical and Historical Studies, University of Eastern Finland, Yliopistokatu 7, Metria-building, P.O. Box 111, FI-80101 Joensuu, FinlandEuropean Forest Institute (EFI), Sant Pau Art Nouveau Site, Sant Leopold Pavilion, St. Antoni M. Claret 167, 08025 Barcelona, SpainDepartment of Geographical and Historical Studies, University of Eastern Finland, Yliopistokatu 7, Metria-building, P.O. Box 111, FI-80101 Joensuu, FinlandThe negative impact of the reduction of vegetation cover is already being felt in the Zambezi Region in northeastern Namibia. The region has been undergoing various land cover changes in the past decades. To understand the historical trend of vegetation cover (increase or decrease), we analyzed 8-km resolution Global Inventory Monitoring and Modeling Studies (GIMMS) from the Advanced Very High Resolution Radiometer (AVHRR) and 0.25° × 0.25° (resampled to 8 km) resolution Global Precipitation Climatology Center (GPCC). We used the Time Series Segmented Residual Trends (TSS-RESTREND) method. We found that the general trajectory of vegetation cover was negative. Pixel-wise analysis and visual interpretation of historical images both revealed clear signs of vegetation cover change. We observed a single breakpoint in the vegetation trajectory which correlated to the 1991−1992 drought in southern Central Africa. Potential drivers of land cover change are the (il)legal expansion of subsistence farming, population growth, and wood extraction. These findings will serve as a reference for decision makers and policymakers. To better understand the human-induced land cover change at the micro scale and sub-regional level, we recommend using higher resolution remote sensing datasets and historical documents to assess the effect of demographic change, disease, civil unrest, and war.https://www.mdpi.com/2073-445X/8/11/160vegetation monitoringdrivers of deforestationcaprivi regionland cover changewood extractioncommunal landtss-restrendgreeningbrowning |
| spellingShingle | Augustine-Moses Gaavwase Gbagir Yitagesu Tekle Tegegne Alfred Colpaert Historical Trajectory in Vegetation Cover in Northeastern Namibia Based on AVHRR Satellite Imagery (1982–2015) Land vegetation monitoring drivers of deforestation caprivi region land cover change wood extraction communal land tss-restrend greening browning |
| title | Historical Trajectory in Vegetation Cover in Northeastern Namibia Based on AVHRR Satellite Imagery (1982–2015) |
| title_full | Historical Trajectory in Vegetation Cover in Northeastern Namibia Based on AVHRR Satellite Imagery (1982–2015) |
| title_fullStr | Historical Trajectory in Vegetation Cover in Northeastern Namibia Based on AVHRR Satellite Imagery (1982–2015) |
| title_full_unstemmed | Historical Trajectory in Vegetation Cover in Northeastern Namibia Based on AVHRR Satellite Imagery (1982–2015) |
| title_short | Historical Trajectory in Vegetation Cover in Northeastern Namibia Based on AVHRR Satellite Imagery (1982–2015) |
| title_sort | historical trajectory in vegetation cover in northeastern namibia based on avhrr satellite imagery 1982 2015 |
| topic | vegetation monitoring drivers of deforestation caprivi region land cover change wood extraction communal land tss-restrend greening browning |
| url | https://www.mdpi.com/2073-445X/8/11/160 |
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