DOI: 10.1016/j.jag.2013.12.015
Scopus记录号: 2-s2.0-84897378292
论文题名: Early season monitoring of corn and soybeans with TerraSAR-X and RADARSAT-2
作者: McNairn H ; , Kross A ; , Lapen D ; , Caves R ; , Shang J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 28, 期: 1 起始页码: 252
结束页码: 259
语种: 英语
英文关键词: Classification
; Corn
; RADARSAT-2
; Soybeans
; TerraSAR-X
Scopus关键词: crop production
; forecasting method
; image classification
; maize
; RADARSAT
; satellite sensor
; seasonal variation
; soybean
; TerraSAR-X
; Canada
英文摘要: Early and on-going crop production forecasts are important to facilitate food price stability for regions at risk, and for agriculture exporters, to set market value. Most regional and global efforts in forecasting rely on multiple sources of information from the field. With increased access to data from spaceborne Synthetic Aperture Radar (SAR), these sensors could contribute information on crop acreage. But these acreage estimates must be available early in the season to assist with production forecasts. This study acquired TerraSAR-X and RADARSAT-2 data over a region in eastern Canada dominated by economically important corn and soybean production. Using a supervised decision tree classifier, results determined that either sensor was capable of delivering highly accurate maps of corn and soybeans at the end of the growing season. Accuracies far exceeded 90%. Spatial and multi-temporal filtering approaches were compared and small improvements in accuracies were found by applying the multi-temporal filter to the RADARSAT-2 data. Of significant interest, this study determined that by using only three TerraSARX images corn could be accurately identified by the end of June, a mere six weeks after planting and at a vegetative growth stage (V6 - sixth leaf collar developed). However, soybeans required additional acquisitions given the variance in planting densities and planting dates in this region of Canada. In this case, accurate soybean classification required TerraSAR-X images until early August at the start of the reproductive stage (R5 - seed development is beginning). Also important, by applying a multi-temporal filter accurate mapping (close to 90%) of corn and soybeans from RADARSAT-2 could occur five weeks earlier (by August 19) than if a spatial filter was used. Thus application of this filtering approach could accelerate delivery of a crop inventory for this region of Canada. Corn and soybeans are important commodities both globally and within Canada. This study makes an important contribution as it demonstrates that TerraSAR-X can deliver acreage estimates of these two crops early enough to assist with in-season production forecasting. © 2014 Published by Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79729
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, K1A 0C6, Canada; MDA Systems Ltd., 13800 Commerce Parkway, Richmond, V6V 2J3, Canada
Recommended Citation:
McNairn H,, Kross A,, Lapen D,et al. Early season monitoring of corn and soybeans with TerraSAR-X and RADARSAT-2[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,28(1)