Satellite imagery;
Two source energy balance;
Water balance;
Geotechnologies;
VEGETATION;
D O I:
10.1016/j.compag.2018.06.003
中图分类号:
S [农业科学];
学科分类号:
09 ;
摘要:
It is known that vegetation needs a certain amount of water to grow and develop. However, it can be difficult to know the actual water requirement of a specific crop. To quantify the hydric balance in hydrographic basins, detailed knowledge of the components of the hydrological cycle is necessary, especially regarding evapotranspiration (ET). Knowledge of ET of crops and forests, in general, is important at all stages of production management of the vegetation cover. Many studies have been developed with the aim of obtaining these values spatially, but temporal variability remains largely uncertain. Thus, the present study had the objective of utilizing a hybrid Two-Source Energy Balance (TSEB), adjusted to integrate hourly, monthly and yearly ET data, aiming at obtaining ET for two years of study, for areas with sugar cane, planted forest and native forest. How evapotranspiration behaves temporally could then be evaluated. Therefore, after analyzing monthly, seasonal and annual results it could be concluded that sugar cane consumes less water than planted forest and native forest with the same rainfall and environment for all uses.
机构:
Univ Calif Davis, Dept Viticulture & Enol, Davis, CA USA
ARS, Sustainable Agr Water Syst Res Unit, USDA, Davis, CA USAPolitecn Milan, Dipartimento Ingn Civile & Ambientale DICA, Milan, Italy
Bambach, N. E.
McElrone, A. J.
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机构:
Univ Calif Davis, Dept Viticulture & Enol, Davis, CA USA
ARS, Crops Pathol & Genet Res, USDA, Davis, CA USAPolitecn Milan, Dipartimento Ingn Civile & Ambientale DICA, Milan, Italy
McElrone, A. J.
Knipper, K.
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机构:
ARS, Sustainable Agr Water Syst Res Unit, USDA, Davis, CA USAPolitecn Milan, Dipartimento Ingn Civile & Ambientale DICA, Milan, Italy
Knipper, K.
Roby, M. C.
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机构:
ARS, Sustainable Agr Water Syst Res Unit, USDA, Davis, CA USAPolitecn Milan, Dipartimento Ingn Civile & Ambientale DICA, Milan, Italy
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R China
Zhuang, Qifeng
Wu, Bingfang
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机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R China
机构:
Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China
Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Peoples R ChinaCent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Liu, Zhaohua
Ye, Zilin
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机构:
Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China
Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Peoples R ChinaCent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Ye, Zilin
Xu, Xiaodong
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机构:
Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China
Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Peoples R ChinaCent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Xu, Xiaodong
Lin, Hui
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机构:
Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China
Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Peoples R ChinaCent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Lin, Hui
Zhang, Tingchen
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机构:
Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China
Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Peoples R ChinaCent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Zhang, Tingchen
Long, Jiangping
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机构:
Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China
Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Peoples R ChinaCent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
机构:
Univ Autonoma Barcelona, Dept Geog, Campus Bellaterra,Edifici B,Carrer de la Fortuna S, Bellaterra 08193, Spain
Inst Agrifood Res & Technol, Efficient Use Water Agr Program, Fruitctr, Parc Cient & Tecnol Agroalimentari Lleida 23, Lleida 25003, SpainUniv Autonoma Barcelona, Dept Geog, Campus Bellaterra,Edifici B,Carrer de la Fortuna S, Bellaterra 08193, Spain
Bozorgi, Mahsa
Cristobal, Jordi
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机构:
Univ Autonoma Barcelona, Dept Geog, Campus Bellaterra,Edifici B,Carrer de la Fortuna S, Bellaterra 08193, SpainUniv Autonoma Barcelona, Dept Geog, Campus Bellaterra,Edifici B,Carrer de la Fortuna S, Bellaterra 08193, Spain
Cristobal, Jordi
Pamies-Sans, Magi
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h-index: 0
机构:
Inst Agrifood Res & Technol, Efficient Use Water Agr Program, Fruitctr, Parc Cient & Tecnol Agroalimentari Lleida 23, Lleida 25003, SpainUniv Autonoma Barcelona, Dept Geog, Campus Bellaterra,Edifici B,Carrer de la Fortuna S, Bellaterra 08193, Spain