DOI: 10.1016/j.jag.2013.12.013
Scopus记录号: 2-s2.0-84897501332
论文题名: Efficiency assessment of using satellite data for crop area estimation in Ukraine
作者: Gallego F ; J ; , Kussul N ; , Skakun S ; , Kravchenko O ; , Shelestov A ; , Kussul O
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 29, 期: 1 起始页码: 22
结束页码: 30
语种: 英语
英文关键词: Agriculture
; Classification
; Crop area
; Remote sensing
; Ukraine
Scopus关键词: agricultural land
; crop production
; efficiency measurement
; error correction
; estimation method
; Landsat thematic mapper
; LISS
; MODIS
; observational method
; remote sensing
; satellite data
; satellite imagery
; Ukraine
英文摘要: The knowledge of the crop area is a key element for the estimation of the total crop production of a country and, therefore, the management of agricultural commodities markets. Satellite data and derived products can be effectively used for stratification purposes and a-posteriori correction of area estimates from ground observations. This paper presents the main results and conclusions of the study conducted in 2010 to explore feasibility and efficiency of crop area estimation in Ukraine assisted by optical satellite remote sensing images. The study was carried out on three oblasts in Ukraine with a total area of 78,500 km2. The efficiency of using images acquired by several satellite sensors (MODIS, Landsat-5/TM, AWiFS, LISS-III, and RapidEye) combined with a field survey on a stratified sample of square segments for crop area estimation in Ukraine is assessed. The main criteria used for efficiency analysis are as follows: (i) relative efficiency that shows how much time the error of area estimates can be reduced with satellite images, and (ii) cost-efficiency that shows how much time the costs of ground surveys for crop area estimation can be reduced with satellite images. These criteria are applied to each satellite image type separately, i.e., no integration of images acquired by different sensors is made, to select the optimal dataset. The study found that only MODIS and Landsat-5/TM reached cost-efficiency thresholds while AWiFS, LISS-III, and RapidEye images, due to its high price, were not cost-efficient for crop area estimation in Ukraine at oblast level. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79690
Appears in Collections: 气候变化事实与影响
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作者单位: European Commission, Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi 2749, I-21027 Ispra (VA), Italy; Space Research Institute NASU-SSAU, Glushkov Ave, 40 build. 4/1, 03680 Kyiv, Ukraine; National University of Life and Environmental Sciences of Ukraine, Heroyiv Oborony str. 15, 03680 Kyiv, Ukraine; National Technical University of Ukraine Kyiv Polytechnic Institute, Peremogy Ave 37, 03056 Kyiv, Ukraine
Recommended Citation:
Gallego F,J,, Kussul N,et al. Efficiency assessment of using satellite data for crop area estimation in Ukraine[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,29(1)