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A COMPREHENSIVE FIELD STUDY OF AGRICULTURAL CROPS USING REMOTE SENSING TECHNIQUES

机译:基于遥感技术的农作物综合田间研究

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An intensive study of the spectral behavior of reflectance and absorbed Photosynthetically Active Radiation of vegetation crops, together with pigment content, Leaf Area Index (LAI), vegetation cover, plant height, and density was carried out in irrigated agricultural fields in southern Israel. Data were collected during eleven experiments conducted from December 1997 till May 1998, using two high spectral resolution spectroradiometers: a Licor LI-1800 in the range 400-1,100 nm and an ASD FieldSpec FR in the range 400-2,400 nm. Four species of wheat ("Ariel", "Ayalon", "Beit- Hashita ", and "Yaniv") were studied. The experiments were carried out over the course of the growing period from sowing until harvesting at one to two week intervals. The vegetation fraction changed from 0 (bare soil) to 100% (full vegetation cover) and LAI varied from 0 to 9. Reflectance of soil varied widely from 5 to 35 per cent in the red range and from 7 to 40 percent in the near infra-red range. In order to assess the information content of the data, a correlation matrix between reflectance at different wavelengths was calculated for each species. It was found that the maximal sensitivity of reflectance to vegetation density was around 550 and 700 nm and in the NIR range. The use of the green channel for monitoring vegetation status was suggested. This study is the first stage of an effort to devise robust algorithms for remote estimation of crop conditions. It introduces some new results on reflectance spectral features of crops throughout the growing season.
机译:在以色列南部的灌溉农田中,对植被作物的反射率和吸收的光合有效辐射的光谱行为以及色素含量,叶面积指数(LAI),植被覆盖率,植物高度和密度进行了深入研究。在1997年12月至1998年5月进行的11项实验中,使用两个高光谱分辨率的光谱仪收集了数据:Licor LI-1800在400-1,100 nm范围内,ASD FieldSpec FR在400-2,400 nm范围内。研究了四种小麦(“ Ariel”,“ Ayalon”,“ Beit-Hashita”和“ Yaniv”)。在从播种到收获的整个生长期中进行实验,间隔时间为一到两周。植被比例从0(裸露土壤)变为100%(完全植被覆盖),LAI从0变为9。土壤的反射率在红色范围内变化范围从5%到35%,在近距离范围内则从7%到40%不等。红外范围。为了评估数据的信息内容,针对每个物种计算了不同波长下反射率之间的相关矩阵。发现反射率对植被密度的最大灵敏度在550和700 nm左右,并且在NIR范围内。建议使用绿色通道监测植被状况。这项研究是设计鲁棒算法以远程估计农作物状况的第一步。它介绍了有关整个生长季节农作物反射光谱特征的一些新结果。

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