Monitoring der Winterbegrünung auf Ackerflächen anhand von Satellitendaten / Monitoring of Winter Vegetation on Arable Land Based onSatellite Data

Magdalena Ochsenbauer, Wolfgang Ehbauer, Franziska Brohmeyer, M. Prasch, F. Ebertseder
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Abstract

An important measure of water and erosion protection on arable land is land cover throughout the year. Cultivation of one-year crops can lead to longer periods without vegetation cover, especially during wintertime. The cultivation of so-called catch crops is only captured if it is part of the area based subsidies and considered for the application of the farmer. In addition, however, where in winter the ground is covered is not known. Based on the analysis and interpretation of satellite data (Sentinel-2 data) and data from the agricultural administration, a study was carried out to determine the extent and intensity of winter vegetation on arable land. The validations show that the leaf area index (LAI) derived from the satellite data is a good indicator of the degree of winter soil cover. The average weighted LAI figures for the whole of Bavaria are still relatively high in October 2017, to decline more or less sharply in the period from November to February 2018.
监测der winterbegr nung auf Ackerflächen anhand von satellite enddaten /基于卫星数据的耕地冬季植被监测
耕地水土流失防护的一项重要措施是全年土地覆被。一年生作物的种植会导致更长时间没有植被覆盖,尤其是在冬季。所谓捕获性作物的种植,只有在作为以地区为基础的补贴的一部分并考虑供农民申请时,才会被收缴。此外,冬天地面被覆盖的地方是未知的。基于卫星数据(Sentinel-2数据)和农业管理数据的分析和解释,对耕地冬季植被的范围和强度进行了研究。验证结果表明,利用卫星数据反演的叶面积指数(LAI)能较好地反映冬季土壤覆盖程度。2017年10月,整个巴伐利亚州的平均加权LAI数据仍然相对较高,11月至2018年2月期间下降幅度较大。
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来源期刊
AGIT- Journal fur Angewandte Geoinformatik
AGIT- Journal fur Angewandte Geoinformatik Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
0.60
自引率
0.00%
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