FROST DAMAGE DETECTION IN SUGARCANE CROP USING MODIS IMAGES AND SRTM DATA

被引:6
|
作者
Theodor Rudorff, Bernardo Friedrich [1 ]
Aguiar, Daniel Alves [1 ]
Adami, Marcos [1 ]
Galvao Salgado, Moises Pereira [1 ]
机构
[1] Natl Inst Space Res INPE, Remote Sensing Div DSR, BR-12227010 Sao Jose Dos Campos, SP, Brazil
关键词
Sugarcane yield; MODIS time-series; SAO-PAULO STATE;
D O I
10.1109/IGARSS.2012.6352315
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The sugarcane production in the South-central region of Brazil has more than doubled over the last decade reaching a maximum of 557 million tons in 2010/11. A significant and unexpected decrease was observed in crop year 2011/12 dropping the production to 494 million tons. Several factors contributed to a major crop yield loss including a sudden frost event in Sao Paulo state. It is difficult to estimate the frost impact but remote sensing images might be useful to quantify the intensity of the damage and its spatial distribution. The objective of this study is to detect and evaluate the extent of the frost damage using MODIS, Landsat, and STRM data. Field work for classification and validation purposes was conducted shortly after frost occurrence. Preliminary analyses indicated that remote sensing satellite images were useful to detect and evaluate the extent the frost damage on sugarcane fields.
引用
收藏
页码:5709 / 5712
页数:4
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