Retrieval of District Evapotranspiration Using Remotely Sensed Biomass Products

被引：0

作者：

Su, Tao ^{[1
]}

Wang, Peng-Xin ^{[1
]}

机构：

[1] China Agr Univ, Coll Informat & Elect Engn, Beijing 100094, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL III, PROCEEDINGS, | 2009年

关键词：

evapotranspiration; retrieval; biomass; TM; SEBAL;

D O I：

10.1109/ESIAT.2009.456

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

An approach of retrieving district evapotranspiration was studied by using remotely sensed biomass products in the Junchuan Farm of the Northeast of China. Based on the crop management practices of the Junchuan Farm, key soil and crop canopy parameters were applied to develop a biomass model for retrieving district evapotranspiration. Using the mass of dry matter on ground, apportionment coefficient and the corresponding experience expressions deduce the computing model of daily evapotranspiration. The surface energy balance algorithm for land (SEBAL) model is a near real time evapotranspiration monitoring approach. This article uses SEBAL as a referenced model to explain the possibility of using the model of biomass to monitor district evapotranspiration. The results show that the spatial distributions of the retrieved results for these two models are similar. These results indicate the model of biomass is a feasible approach for monitoring district evapotranspiration.

引用

页码：466 / 469

页数：4

共 50 条

[31] Analysis of Agricultural Drought Using Remotely Sensed Evapotranspiration in a Data-Scarce Catchment
Wambura, Frank Joseph
Dietrich, Ottfried
WATER, 2020, 12 (04)
[32] Temporal Upscaling and Reconstruction of Thermal Remotely Sensed Instantaneous Evapotranspiration
Xu, Tongren
Liu, Shaomin
Xu, Lu
Chen, Yujie
Jia, Zhenzhen
Xu, Ziwei
Nielson, Jeffrey
REMOTE SENSING, 2015, 7 (03) : 3400 - 3425
[33] Calibration of Land Surface Model Using Remotely Sensed Evapotranspiration and Soil Moisture Predictions
Poovakka, A. Kunnath
Ryu, D.
Renzullo, L. J.
Pipunic, R.
George, B.
20TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2013), 2013, : 3113 - 3119
[34] Assessing surface water consumption using remotely-sensed groundwater, evapotranspiration, and precipitation
Anderson, Ray G.
Lo, Min-Hui
Famiglietti, James S.
GEOPHYSICAL RESEARCH LETTERS, 2012, 39
[35] Extracting phreatic evaporation from remotely sensed maps of evapotranspiration
Brunner, P.
Li, H. T.
Kinzelbach, W.
Li, W. P.
Dong, X. G.
WATER RESOURCES RESEARCH, 2008, 44 (08)
[36] Estimating actual irrigation application by remotely sensed evapotranspiration observations
Droogers, P.
Immerzeel, W. W.
Lorite, I. J.
AGRICULTURAL WATER MANAGEMENT, 2010, 97 (09) : 1351 - 1359
[37] Remotely-sensed evapotranspiration for informed urban forest management
Wan, Heng
McLaughlin, Daniel
Shao, Yang
van Eerden, Brian
Ranganathan, Shyam
Deng, Xinwei
LANDSCAPE AND URBAN PLANNING, 2021, 210
[38] Evaluation of Remotely Sensed Soil Moisture Products using Crowdsourced Measurements
Zappa, Luca
Woods, Mel
Hemment, Drew
Xaver, Angelika
Dorigo, Wouter
EIGHTH INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF THE ENVIRONMENT (RSCY2020), 2020, 11524
[39] Land surface parameters retrieval using time series remotely sensed observations
Wang, Dongwei
Wang, Jindi
Xiao, Zhiqiang
Zhang, Ge
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 4401 - 4403
[40] Comparing the ability of different remotely sensed evapotranspiration products in enhancing hydrological model performance and reducing prediction uncertainty
Taia, Soufiane
Scozzari, Andrea
Erraioui, Lamia
Kili, Malika
Mridekh, Abdelaziz
Haida, Souad
Chao, Jamal
El Mansouri, Bouabid
ECOLOGICAL INFORMATICS, 2023, 78

← 1 2 3 4 5 →