Crop water requirements from a remote sensing model for the Snake Plain Area in Idaho
Fuente:
Redalyc
Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad de los Andes
2003
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1876455251042631680 |
|---|---|
| author | Ricardo Trezza |
| author_facet | Ricardo Trezza |
| contents | Crop water requirements from a remote sensing model for the Snake Plain Area in Idaho Ricardo Trezza Richard Allen Geografía Social Water Rights Remote Sensing Satellites Images Evapotranspiration SEBAL (Surface Energy Balance Algorithm for Land) is a remote sensing model comprisedof twenty-five submodels for calculating crop water requirements or evapotranspiration(ET) for large areas. SEBAL was developed in the Netherlands by Bastiaanssen and hasbeen modified during Idaho studies for application to irrigated agriculture, rangeland,mountainous terrain and clear, cold lakes under semiarid conditions. SEBAL has beenapplied in many developing countries and has now been applied in southern Idaho topredict monthly and seasonal ET for water rights accounting and for operation of groundwater models. Results from SEBAL have been compared and validated using precisionweighing lysimeter measurements from the United States Department of AgriculturalResearch Center at Kimberly, Idaho. ET maps via SEBAL provide the means to quantify,in terms of both the amount and spatial distribution, the ET on a field-by-field basis. ETfrom satellite images may ultimately replace current procedures used by managemententities that rely on ground-based ET equations and generalized crop coefficients that havesubstantial uncertainty. Initial application and testing of SEBAL indicates substantial promiseas an efficient, accurate, and relatively inexpensive procedure to predict the actual evaporationfluxes from irrigated lands throughout a growing season. 2003 artículo científico 1316-6077 https://www.redalyc.org/articulo.oa?id=36080107 en http://www.redalyc.org/revista.oa?id=360 Geoenseñanza application/pdf Universidad de los Andes Geoenseñanza (República Bolivariana de Venezuela) Num.1 Vol.8 |
| format | Artículo científico |
| id | redalyc_36080107 |
| institution | Redalyc |
| language | en |
| publishDate | 2003 |
| publisher | Universidad de los Andes |
| spellingShingle | Crop water requirements from a remote sensing model for the Snake Plain Area in Idaho Ricardo Trezza Geografía Social Water Rights Remote Sensing Satellites Images Evapotranspiration Crop water requirements from a remote sensing model for the Snake Plain Area in Idaho Ricardo Trezza Richard Allen Geografía Social Water Rights Remote Sensing Satellites Images Evapotranspiration SEBAL (Surface Energy Balance Algorithm for Land) is a remote sensing model comprisedof twenty-five submodels for calculating crop water requirements or evapotranspiration(ET) for large areas. SEBAL was developed in the Netherlands by Bastiaanssen and hasbeen modified during Idaho studies for application to irrigated agriculture, rangeland,mountainous terrain and clear, cold lakes under semiarid conditions. SEBAL has beenapplied in many developing countries and has now been applied in southern Idaho topredict monthly and seasonal ET for water rights accounting and for operation of groundwater models. Results from SEBAL have been compared and validated using precisionweighing lysimeter measurements from the United States Department of AgriculturalResearch Center at Kimberly, Idaho. ET maps via SEBAL provide the means to quantify,in terms of both the amount and spatial distribution, the ET on a field-by-field basis. ETfrom satellite images may ultimately replace current procedures used by managemententities that rely on ground-based ET equations and generalized crop coefficients that havesubstantial uncertainty. Initial application and testing of SEBAL indicates substantial promiseas an efficient, accurate, and relatively inexpensive procedure to predict the actual evaporationfluxes from irrigated lands throughout a growing season. 2003 artículo científico 1316-6077 https://www.redalyc.org/articulo.oa?id=36080107 en http://www.redalyc.org/revista.oa?id=360 Geoenseñanza application/pdf Universidad de los Andes Geoenseñanza (República Bolivariana de Venezuela) Num.1 Vol.8 |
| title | Crop water requirements from a remote sensing model for the Snake Plain Area in Idaho |
| topic | Geografía Social Water Rights Remote Sensing Satellites Images Evapotranspiration |
| url | https://www.redalyc.org/articulo.oa?id=36080107 |