干旱区生态环境知识资源中心(Arid): A MULTI-SCALE REMOTE SENSING APPROACH TO UNDERSTANDING VEGETATION DYNAMICS IN THE NAMA KAROO-GRASSLAND ECOTONE OF SOUTH AFRICA

Arid

DOI	10.1109/IGARSS39084.2020.9323460
	A MULTI-SCALE REMOTE SENSING APPROACH TO UNDERSTANDING VEGETATION DYNAMICS IN THE NAMA KAROO-GRASSLAND ECOTONE OF SOUTH AFRICA
	Ndyamboti, K.; du Toit, J.; Baade, J.; Kaiser, A.; Urban, M.; Schmullius, C.; Thiel, C.; Berger, C.
通讯作者	Ndyamboti, K (corresponding author), Friedrich Schiller Univ Jena, Dept Earth Observat, Lobdergraben 32, D-07743 Jena, Germany.
会议名称	IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期	SEP 26-OCT 02, 2020
会议地点	ELECTR NETWORK
英文摘要	In this paper, we propose a methodology for upscaling fractional vegetation cover (FVC) estimates derived from unmanned aerial vehicles (UAVs) to a larger area using freely available Sentinel-1/2 and Landsat-8 satellite data in the semi-arid Nama-Karoo biome of South Africa. To the best of our knowledge, such an approach is still lacking yet critical for understanding human-environment interactions, degradation, and the impacts of climate change in this vulnerable dryland ecosystem. The proposed approach utilizes ultra-high spatial resolution UAV imagery (i.e. < 5 cm) to develop a high quality FVC product. The resulting product is then used to upscale and validate satellite-based estimates of FVC. The rationale for upscaling UAV estimates to the satellite-scale is not only to cover larger areas but also to exploit historical satellite time-series data, in an attempt to understand past trends and vegetation dynamics in the Nama Karoo-Grassland ecotone. The proposed method is expected to produce the first-ever high-resolution continuous maps of FVC and its changes in the above-mentioned ecosystem. Such information is of vital importance as it could help decision makers to gain a better understanding of the extent at which mechanisms such as bush encroachment, grassland expansion, or degradation are occurring in dryland ecosystems.
英文关键词	Upscaling fractional cover vegetation dynamics monitoring Karoo UAV TLS Sentinel Landsat
来源出版物	IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
出版年	2020
页码	4501-4504
ISBN	978-1-7281-6374-1
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000664335304086
WOS关键词	COVER ; SCALES
WOS类目	Computer Science, Artificial Intelligence ; Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Optics
WOS研究方向	Computer Science ; Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Optics
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/365551
作者单位	[Ndyamboti, K.; Urban, M.; Schmullius, C.; Berger, C.] Friedrich Schiller Univ Jena, Dept Earth Observat, Lobdergraben 32, D-07743 Jena, Germany; [du Toit, J.] Grootfontein Agr Dev Inst, Middelburg, Eastern Cape, South Africa; [Baade, J.; Kaiser, A.] Friedrich Schiller Univ Jena, Dept Phys Geog, Lobdergraben 32, D-07743 Jena, Germany; [Thiel, C.] DLR Inst Data Sci, Malzerstr 3, D-07743 Jena, Germany
推荐引用方式 GB/T 7714	Ndyamboti, K.,du Toit, J.,Baade, J.,et al. A MULTI-SCALE REMOTE SENSING APPROACH TO UNDERSTANDING VEGETATION DYNAMICS IN THE NAMA KAROO-GRASSLAND ECOTONE OF SOUTH AFRICA[C]:IEEE,2020:4501-4504.