High-standard farmland monitoring program of the Digital Earth Open Platform.
The crop remote sensing monitoring system of the digital earth open platform uses the characteristics of wide coverage and accurate data of satellite data to quickly and automatically monitor the land quality, crop growth, area changes, yield estimation and high quality of large-scale high-standard farmland, so that users can grasp the farmland situation online, prevent the decline and degradation of farmland quality caused by untimely management and protection, and ensure national food security.
An image outlining the "fertile land" landform:
Land resources survey and assessment: Remote sensing data can provide a wide range of land information, including land cover, land use, topography, etc. The electromagnetic wave characteristics of farmland can be obtained by remote sensing for information extraction, which can analyze the spatial distribution, area and crop growth characteristics of farmland, and provide basic data for the construction of high-standard "fertile land".
The vegetation index leads the dance of farmland moisture
Farmland moisture management: Remote sensing technology monitors the moisture status of the land, and the vegetation index (such as NDVI) and other information present the humidity and drought degree of farmland in real time, helping to formulate scientific irrigation plans and improve water use efficiency.
Pest and disease alerts in the vegetation health picture
Pest and disease monitoring: remote sensing data reveals the health status of farmland vegetation, multispectral and hyperspectral technology detects abnormal changes in vegetation, understands crop nutrient absorption through changes in leaf status, distinguishes between healthy and unhealthy crops, discovers and accurately identifies signs of pests and diseases in advance, and provides support for targeted control measures.
In addition, remote sensing monitoring can also use satellite data to calculate enhanced vegetation index (EVI), leaf area index (LAI), vegetation coverage (FVC), etc., so as to judge the health of crop canopy, grasp the growth status of crops at various growth stages, and provide effective growth indicators for yield.
Three-dimensional planning of farmland from the perspective of remote sensing
Remote sensing images are used to comprehensively obtain farmland structure information, including shape, size, distribution, etc., which provides valuable reference for scientific and reasonable farmland planning and layout, and improves land use efficiency.
Take control of the future
Yield**: Estimation of high-standard farmland by remote sensing The goal of the construction of high-standard farmland is to improve grain production capacity, and the improvement of production capacity is inseparable from the guidance of precise agricultural strategies. As an important part of the formulation of agricultural strategies, accurate yield estimation not only plays an important guiding role in the formulation of agricultural strategies itself, but also for the further planning and arrangement of high-standard farmland. As an important part of agricultural remote sensing, the technology of using satellite remote sensing data to estimate crop yield is becoming more and more mature, and aerospace monitoring can combine the planting characteristics of different crop types and the spectral characteristics reflected in different phenological periods of crops to identify crop types and crop growth and estimate crop yields.
Disaster damage assessment: The high-standard farmland disaster early warning remote sensing technology based on remote sensing has been widely used in agricultural disaster early warning and post-disaster management, and satellites are widely known in the field of weather forecasting. As far as high-standard farmland is concerned, in addition to pests and diseases, aerospace monitoring can also provide timely early warning of farmland inundation caused by excessive rainfall during the monsoon period in agricultural production, crop degradation and quality reduction caused by continuous high temperature, etc., through agricultural customized weather early warning and disaster and post-disaster assessment, so as to quickly assess the disaster level and affected area of high-standard farmland, and minimize the impact of disasters.