Goulbi Maradi valley is a temporary flow stream with a basin containing great agro-ecologic potentials. However, this potential is dwindling at a rate that corresponds with increase in the ecosystem's vulnerability. This study is focused on a part of this basin, an area of about 2600km 2 . The aim of this study is to better understand land use/cover change through diachronic analysis by integrating remote sensing and GIS. Visual interpretation of satellites imagery (1972, 1986, and 2001), field works, technical and survey data were used to provide quantitative analysis of Land Use/Cover change information and its greatest drivers in the study area. The changes become more and more important under simultaneous influence of successive droughts (1973-1974 and 1983-1984) that have disrupted ecological balance, anthropogenic and animal impacts, ecosystems degradation and politico-institutional policies. In fact, the land use temporal dynamics are characterised by the continual degradation of vegetation, the complete state of land saturation (resulting in conflicts between farmer and herders), the narrowing of grazing areas, bare land expansion, the bank erosion of stream bed, the decline in flooded plain and precariousness of flooding surface of the study area.
In order to promote the economic development of China’s provinces and provide references for the provinces to make effective economic decisions, it is urgent to investigate the trend of province-level economic development. In this study, DMSP/OLS data and NPP/VIIRS data were used to predict economic development. Based on the GDP data of China’s provinces from 1992 to 2016 and the nighttime light remote sensing (NTL) data of corresponding years, we forecast GDP via the linear model (LR model), ARIMA model, ARIMAX model, and SARIMA model. Models were verified against the GDP records from 2017 to 2019. The experimental results showed that the involvement of NTL as exogenous variables led to improved GDP prediction.
Since 2000, major changes have taken place in Wuhan city. Land use and land cover (LULC) has changed significantly, characterized by increased construction land, reducing farmland, grassland, and forest land due to the rapid urbanization process. Taking advantage of LULC data and Moderate
Resolution Imaging Spectroradiometer Net Primary Production (MODIS NPP) data from 2000 to 2020, we analyze the impact of LULC type transformation on NPP, reveal the relationship between LULC type and NPP, and quantify the impact of urban expansion on NPP by taking Wuhan, China as a study case.
The results showed that: 1) the transformation from farmland and grassland to construction land was a dominant LULC change type in Wuhan during the investigated period; 2) there exists a significant negative correlation between NPP and changes in farmland, woodland, and grassland area; 3)
the distance from the city center has a significant positive correlation with NPP, and the dynamics of NPP vary in different regions; 4) there is a significant positive correlation between NPP and night light data. The results of this study provide scientific references for the formation of
greening construction and sustainable development strategies in Wuhan.
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