SMAP MULTI-TEMPORAL VEGETATION OPTICAL DEPTH RETRIEVAL AS AN INDICATOR OF CROP YIELD TRENDS AND CROP COMPOSITION

被引：0
|
作者：
Chaparro, David [1 ]
Piles, Maria [2 ]
Vall-llossera, Merce [1 ]
Camps, Adriano [1 ]
Konings, Alexandra G. [3 ]
Entekhabi, Dara [3 ]
机构：
[1] Univ Politecn Cataluna, IEEC, Jordi Girona I-3, ES-08034 Barcelona, Spain
[2] Univ Valencia, IPL, E-46980 Paterna, Valencia, Spain
[3] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA
来源：
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年
关键词：
Vegetation Optical Depth; yield; SMAP; crops; plant density;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Vegetation Optical Depth (VOD) is related to Vegetation Water Content (VWC). This provides new and highly valuable information for ecological and agricultural studies. In this work, VOD from the Soil Moisture Active-Passive (SMAP) satellite has been retrieved with the new Multi-Temporal Dual-Channel Algorithm (MT-DCA). Then, it has been applied to the study of crop yield trends and crop composition. The increase on VOD (AVOD) during crop development has been compared to yield data in two selected regions located in the United States. The first region presents a heterogeneous crop composition and weak AVOD-yield relationship (r2=0.21). The second region presents a highly homogenous cover and a strong exponential relationship (r2=0.65) between AVOD and yield. A saturation of yield is observed at a certain AVOD value. This pattern is probably due to an increasing plant density, which limits the crop yield due to plant physiological stress.
引用
收藏
页码：4362 / 4365
页数：4
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