干旱区生态环境知识资源中心(Arid): Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China

Arid

DOI	10.3390/rs13183764
	Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China
	Kayumba, Patient Mindje; Fang, Gonghuan; Chen, Yaning; Mind'je, Richard; Hu, Yanan; Ali, Sikandar; Mindje, Mapendo
通讯作者	Fang, GH (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, 818 South Beijing Rd, Urumqi 830011, Peoples R China. ; Fang, GH (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:18
英文摘要	The Yanqi basin is the main irrigated and active agroecosystem in semi-arid Xinjiang, northwestern China, which further seeks responses to the profound local water-related drawbacks in relation to the unceasing landscape desiccation and scant precipitation. Yet, it comes as an astonishment that a few reported near-surface items and water vapor fluxes as so far required for water resources decision support, particularly in a scarce observation data region. As a contributive effort, here we adjusted the sensible heat flux (H) calibration mechanism of Surface Energy Balance Algorithm for Land (SEBAL) to high-resolution satellite dataset coupled with in-situ observation, through a wise guided anchor pixel assortment from surface reflectance-alpha, Leaf area index-LAI, vegetation index-NDVI, and surface temperature (P-cold, P-hot) to model the robustness of energy fluxes and Evapotranspiration-ETa over the basin. Results reasonably reflected ETa which returned low RMSE (0.6 mm d(-1)), MAE (0.48 mm d(-1)) compared to in-situ recordings, indicating the competence of SEBAL to predict vapor fluxes in this region. The adjustment unveiled the estimates of the land-use contribution to evapotranspiration with an average ranging from 3 to 4.69 mm d(-1), reaching a maximum of 5.5 mm d(-1). Furthermore, findings showed a high striking energy dissipation (LE/Rn) across grasslands and wetlands. The vegetated surfaces with a great evaporative fraction were associated with the highest LE/Rn (70-90%), and water bodies varying between 20% and 60%, while the desert ecosystem dissipated the least energy with a low evaporative fraction. Still, besides high portrayed evaporation in water, grasslands and wetlands varied interchangeably in accounting for the highest ETa followed by cropland. Finally, a substantial nexus between available energy (Rn-G) and ETa informed the available energy, influenced by NDVI to be the primary driver of these oases' transpiration. This study provides essentials of near-surface energy fluxes and the likelihood of ETa with considerable baseline inferences for Yanqi that may be beneficial for long-term investigations that will attend in agrometeorological services and sustainable management of water resources in semi-arid regions.
英文关键词	anchor pixels available energy energy dissipation evapotranspiration Landsat-8 SEBAL
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000701756100001
WOS关键词	BALANCE SYSTEM SEBS ; TARIM RIVER-BASIN ; BOSTEN LAKE ; EVAPOTRANSPIRATION ESTIMATION ; MAPPING EVAPOTRANSPIRATION ; EVAPORATIVE DEMAND ; NATURAL VEGETATION ; ALGORITHM ; ADVECTION ; LANDSAT
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364485
作者单位	[Kayumba, Patient Mindje; Fang, Gonghuan; Chen, Yaning; Mind'je, Richard; Hu, Yanan; Ali, Sikandar] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, 818 South Beijing Rd, Urumqi 830011, Peoples R China; [Kayumba, Patient Mindje; Fang, Gonghuan; Chen, Yaning; Mind'je, Richard; Hu, Yanan; Ali, Sikandar] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Kayumba, Patient Mindje; Mind'je, Richard] Univ Lay Adventists Kigali UNILAK, Fac Environm Sci, Kigali 6392, Rwanda; [Mindje, Mapendo] Univ Rwanda, Coll Agr Anim Sci & Vet Med, Ctr Excellence Biodivers & Nat Resource Managemen, Huye 117, Rwanda
推荐引用方式 GB/T 7714	Kayumba, Patient Mindje,Fang, Gonghuan,Chen, Yaning,et al. Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China[J]. 中国科学院新疆生态与地理研究所,2021,13(18).
APA	Kayumba, Patient Mindje.,Fang, Gonghuan.,Chen, Yaning.,Mind'je, Richard.,Hu, Yanan.,...&Mindje, Mapendo.(2021).Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China.REMOTE SENSING,13(18).
MLA	Kayumba, Patient Mindje,et al."Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China".REMOTE SENSING 13.18(2021).