Analysis of the recent trends in vegetation dynamics and its relationship with climatological factors using remote sensing data for Caspian Sea watersheds in Iran

IF 2 4区农林科学 Q2 AGRONOMY International Agrophysics Pub Date : 2022-06-22 DOI:10.31545/intagr/150020

I. Rousta, Mohammad Mansourmoghaddam, H. Ólafsson, J. Krzyszczak, P. Baranowski, Hao Zhang, P. Tkaczyk

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引用次数: 7

Abstract

. This study used NDVI, ET, and LST satellite images collected by moderate resolution imaging spectroradiom eter and tropical rainfall measuring mission sensors to investigate seasonal and yearly vegetation dynamics, and also the influence of climatological factors on it, in the area of the Caspian Sea Watersheds for 2001-2019. The relationships have been assessed using regression analysis and by calculating the anomalies. The results showed that in the winter there is a positive significant cor relation between NDVI and ET, and also LST (R = 0.46 and 0.55, p-value = 0.05, respectively). In this season, the impact of pre cipitation on vegetation coverage should not be significant when LST is low, as was observed in the analysed case. In spring, the correlation between NDVI and ET and precipitation is positive and significant (R = 0.86 and 0.55, p-value = 0.05). In this season, the main factor controlling vegetation dynamics is precipitation, and LST's impact on vegetation coverage may be omitted when precipitation is much higher than usual. In the summer, the correla tion between NDVI and ET is positive and significant (R = 0.70, p-value = 0.05), while the correlation between NDVI and LST is negative and significant (R = –0.45, p-value = 0.05). In this sea son, the main factor that controls vegetation coverage is LST. In the summer season, when precipitation is much higher than aver age, the impact of LST on vegetation growth is more pronounced. Also, higher than usual precipitation in the autumn is the reason for extended vegetation coverage in this season, which is mainly due to increased soil moisture. vegetation dynamics and climatological factors in the ( The relationship

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利用伊朗里海流域遥感数据分析植被动态及其与气候因素的关系

本研究使用中分辨率成像光谱仪和热带降雨测量任务传感器收集的NDVI、ET和LST卫星图像，研究了2001-2019年里海流域地区的季节和年度植被动态，以及气候因素对其的影响。已经使用回归分析和计算异常来评估这些关系。结果表明，冬季NDVI与ET和LST呈正相关（R分别为0.46和0.55，p值分别为0.05）。在这个季节，当LST较低时，降水对植被覆盖率的影响应该不显著，正如在分析案例中观察到的那样。春季NDVI和ET与降水呈正相关（R=0.86和0.55，p值=0.05）。在这个季节，控制植被动态的主要因素是降水，当降水量远高于往常时，LST对植被覆盖率的影响可能会被忽略。在夏季，NDVI与ET呈正相关（R=0.70，p值=0.05），而NDVI与LST呈负相关（R=-0.45，p值=0.05）。在夏季，当降水量远高于平均值时，LST对植被生长的影响更为明显。此外，秋季降水量高于往常是该季节植被覆盖范围扩大的原因，这主要是由于土壤湿度增加。植被动力学与气候因子的关系

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来源期刊

International Agrophysics 农林科学-农艺学

CiteScore

3.60

自引率

9.10%

发文量

审稿时长

3 months

期刊介绍： The journal is focused on the soil-plant-atmosphere system. The journal publishes original research and review papers on any subject regarding soil, plant and atmosphere and the interface in between. Manuscripts on postharvest processing and quality of crops are also welcomed. Particularly the journal is focused on the following areas: implications of agricultural land use, soil management and climate change on production of biomass and renewable energy, soil structure, cycling of carbon, water, heat and nutrients, biota, greenhouse gases and environment, soil-plant-atmosphere continuum and ways of its regulation to increase efficiency of water, energy and chemicals in agriculture, postharvest management and processing of agricultural and horticultural products in relation to food quality and safety, mathematical modeling of physical processes affecting environment quality, plant production and postharvest processing, advances in sensors and communication devices to measure and collect information about physical conditions in agricultural and natural environments. Papers accepted in the International Agrophysics should reveal substantial novelty and include thoughtful physical, biological and chemical interpretation and accurate description of the methods used. All manuscripts are initially checked on topic suitability and linguistic quality.