Land cover / use classification of farmland and fragile ecosystems (e.g., wetland ecosystems) based on high-resolution remote sensing data. We provide information for land use, wetland resource census and wetland ecological environment governance.
We monitor the growth and health of food crops and estimate the crop yield. We have realized dynamic monitoring and yield prediction for rice and winter wheat through LAI, TAGP and WSO based on inversion of multitemporal remote sensing data.
We use different remote sensing indexes to extract the soil moisture content of crops in different growth periods, in order to cope with the differences of remote sensing inversion of soil moisture under different vegetation coverage. It allows risk assessment of drought during the crop growth cycle.
We use hyperspectral remote sensing data to extract heavy metal content in the vegetation canopy to indirectly reflect the environmental pollution status of the mining area. Deep mines are concealing environmental pollution, so we use the mechanism of heavy metals in the mining area to affect vegetation growth and canopy spectrum to monitor pollution.
With the help of long-term serial remote sensing data and a time-series change detection algorithm, we calculate the spatial distribution of the forest land planting time in the wetland ecoregion, analyze the change of the forest land area in the wetland ecoregion, providing a temporal and spatial evolution model for the forest land environment.
We help you map and monitor infrastructure such as power lines, pipelines, roads, railways, airports, oil fields, bridges, and dams. We detect changes and development of infrastructure and constructions. We optimize infrastructure management and prevent failures through early detection of risks.