Evaluation of multi-sensor semi-arid crop season parameters based on NDVI and rainfall
Evaluation of multi-sensor semi-arid crop season parameters based on NDVI and rainfall
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DOI：
10.1016/j.rse.2007.10.008
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发表时间：
2008-05-15
影响因子：
13.5
通讯作者：
de Beurs, Kirsten M.
中科院分区：
文献类型：
--
作者：
Brown, Molly E.;de Beurs, Kirsten M.
估计半干旱季风生态系统生长季节开始时间的作物模型已成为利用卫星遥感监测作物产量的作物模型和由于生长季节长而导致未来产量可能减少的预警指标的核心部分。本文提出了一种新的物候模型，它是调整到半干旱，季风生态系统的西非萨赫勒地区，并使用湿度，而不是日历日期，以确定季节的开始。我们实现了这个模型的植被指数数据从AVHRR，SPOT植被和MODIS数据，并评估结果沿着与一个基于AVHRR的季节开始估计该地区。该文件的贡献包括评估现有的方法，使用地面观测的播种日期，比较相同的度量跨多个传感器和基于卫星的SOS，和一个度量的发展基于NDVI和相对湿度。(C)2007 Elsevier Inc，保留所有权利。
Metrics that estimate the beginning of the growing season in semi-arid monsoonal ecosystems have become a central part of both crop models that are used to monitor crop production using satellite remote sensing and early warning indicators of possible future reductions in yield due to growing season length. This paper presents a new phenological model which is tuned to the semi-arid, monsoonal ecosystem of the West African Sahel and that uses humidity instead of calendar dates to identify the beginning of the season. We implement this model on vegetation index data from AVHRR, SPOT-Vegetation and MODIS data, and evaluate the results along with a rainfall-based start of season estimate for the region. Contributions of the paper include evaluating existing methods using ground observations of sowing date, comparing the same metric across multiple sensors and to rainfall-based SOS, and the development of a metric based on NDVI and relative humidity. (C) 2007 Elsevier Inc, All rights reserved.