Time Series Analysis of Agricultural Drought and Desertification using Spectral Indices and Satellite Images

Tikrit journal for agricultural sciences Pub Date : 2024-03-31 DOI:10.25130/tjas.24.1.17

Ayad A.Khalaf, Ali H. Hummadi

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Abstract

The aim of study to time series analysis of agricultural drought and desertification using Spectral Indices and Landsat Images. A time series of satellite images (TM and OLI) were coducted for the period 1990 to 2022. The located at coordinate 34°52'29.386"N and 43°26'15.703" E and the area study is (33.98) km2. The (18) eighteen of satellite images were selected and then image processing was carried out using ERDAS imagen Ver 15 and ArcGIS 10.6. The spectral indices (Normalized Difference Vegetation Index (NDVI), Land Surface Temprature (LST), Vegetation Condition Index (VCI), and Vegetation Health Idex (VHI) were calculated. The regression and correlation coefficient between rainfall and spectral indices were determined using SPSS programm. The result show that VHI at 1990, 2000 and 2010 are sever drought class and its area 63.66, 57.63 and 63.85% respectively. In addition, the simple linear regression and correlation coefficient were positive between a rainfall and spectral indices reach ≥ 0.70. The years 1998, 2008, 2013 and 2022 were suffering from sever drought and desertification compared with 2006, 2016 and 2019, respectively.

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利用光谱指数和卫星图像对农业干旱和荒漠化进行时间序列分析

本研究旨在利用光谱指数和大地遥感卫星图像对农业干旱和荒漠化进行时间序列分析。研究人员对 1990 年至 2022 年期间的卫星图像（TM 和 OLI）时间序列进行了编码。研究区域位于北纬 34°52'29.386"，东经 43°26'15.703"，面积为（33.98）平方公里。选择了 18 幅卫星图像，然后使用 ERDAS imagen Ver 15 和 ArcGIS 10.6 进行了图像处理。计算了光谱指数（归一化植被指数（NDVI）、地表温度（LST）、植被状况指数（VCI）和植被健康指数（VHI））。利用 SPSS 程序测定了降雨量与光谱指数之间的回归系数和相关系数。结果表明，1990 年、2000 年和 2010 年的 VHI 为严重干旱等级，其面积分别为 63.66%、57.63% 和 63.85%。此外，降雨量与光谱指数之间的简单线性回归和相关系数均为≥0.70。与 2006 年、2016 年和 2019 年相比，1998 年、2008 年、2013 年和 2022 年分别遭受严重干旱和荒漠化。

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来源期刊

Tikrit journal for agricultural sciences

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0.10

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0.00%

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