17:15 〜 18:30
[ACG34-P06] 衛星リモートセンシングを用いた過去20年のユーラシアの植生変動解析
キーワード：リモートセンシング、NDVI、ユーラシア
Eurasia experienced significant temperature and precipitation changes, and these changes can affect terrestrial vegetation environments. So far, many studies analyzed satellite-based vegetation datasets using NOAA AVHRR and Terra and Aqua MODIS. Most studies focused on the years by 2015. Therefore, more updated analysis is required since more clear warning has been occurred. Therefore, in this study, we used multiple satellite datasets from 2000 to 2019 to understand the long-term trends of vegetation changes across Eurasia. We used multiple Terra and Aqua MODIS products and multiple climate datasets to understand changes in vegetation and potential causes of these vegetation changes.
Regions with increased NDVI are widely distributed in Eurasia. There is an increasing trend in 45.6% of the regions and a decreasing trend in 2.5% of the regions. NDVI increased significantly in Siberia, China, India, Turkey and western Russia. On the other hand, NDVI decreased in some parts of Central Asia such as the northwestern part of Kazakhstan. As a result of analyzing the rank correlation between NDVI and climate variables, the correlation between NDVI and temperature was high in Siberia, northeastern China and western Russia (NDVI-temperature: r = 0.66 (Siberia), r = 0.51 (northeast China), r = 0.55 (Western Russia)). On the other hand, there was a high correlation between NDVI and precipitation in southern China, India, Turkey and northwestern Kazakhstan (NDVI-precipitation: r = 0.35 (southern China), r = 0.48 (India), r = 0.52 (Turkey), r = 0.75 (northwestern Kazakhstan)). Thus, we clarified vegetation change trends and its potential mechanisms. As future plans, we will analyze the factors by adding parameters such as the amount of solar radiation, soil moisture, and human activities.
Regions with increased NDVI are widely distributed in Eurasia. There is an increasing trend in 45.6% of the regions and a decreasing trend in 2.5% of the regions. NDVI increased significantly in Siberia, China, India, Turkey and western Russia. On the other hand, NDVI decreased in some parts of Central Asia such as the northwestern part of Kazakhstan. As a result of analyzing the rank correlation between NDVI and climate variables, the correlation between NDVI and temperature was high in Siberia, northeastern China and western Russia (NDVI-temperature: r = 0.66 (Siberia), r = 0.51 (northeast China), r = 0.55 (Western Russia)). On the other hand, there was a high correlation between NDVI and precipitation in southern China, India, Turkey and northwestern Kazakhstan (NDVI-precipitation: r = 0.35 (southern China), r = 0.48 (India), r = 0.52 (Turkey), r = 0.75 (northwestern Kazakhstan)). Thus, we clarified vegetation change trends and its potential mechanisms. As future plans, we will analyze the factors by adding parameters such as the amount of solar radiation, soil moisture, and human activities.