Intensive anthropogenic activities encourage drastic land-use changes. The changes in land cover, from vegetation to non-vegetation, have the potential to increase heat emissions from the land surface and the atmospheric temperature. A study concerning these aspects is worth conducting in Padang, a city in Indonesia with high land-use changes (1-5 % per year), regarding that this country has controversial issues related to land-use change. In this study, we use the method Land Surface Temperature to examine the surface temperature change in Padang, Indonesia, and assess its relation to the land-use change. Landsat Satellite Imagery was obtained from USGS, through a data mining process meant to help us gather spatial and temporal data for the period 2010-2019. The results show that the city of Padang has experienced an increase of 0.4°C/year in the land surface temperature, whereas the air temperature has increased with 0.01 0C/year. It reveals per 100 hectares change in land-use it potentially raising 0.06°C and 0.006 °C in land surface and air temperature, respectively. These conclusions improve our understanding of the effects that land-use change has on the spatial and temporal surface temperature in the city.

Estimates of rice production carried out in conventional ways require high costs and a long time, when compared to remote sensing technology. Surveying land conditions using remote sensing satellite technology besides the time of obtaining information is fast and cheap, as well as the survey area is wide and the information got is more sustainable. This study aims to predict the productivity of crop yields (crop yield) of rice fields using the NDVI (Normalized Difference Vegetation Index) algorithm. Research conducted by methods of observation and data processing comprises several stages, namely data pre-processing, analysis of index vegetation until extracted, followed by making a working map for observation and validation of the field. Field results as a consideration of the correlation of the value of vegetation index to the phase of growth and average productivity in the area. The results of the analysis showed the value of NDVI observed as a sign of production that occurred was in the generative phase 2 in the 2nd week of July based on trends that occurred in Talang district of Solok Regency. The results of the actual production data validation test and the use of the NDVI algorithm resulted in an NSE (Nash-Sutcliffe Efficiency) value of 0.868 with the category “Good”.