The exploration of outer space and
launching of satellites started in the 1960s. Having some romantic flair
in the beginning, the satellite story went on and nowadays satellites
are launched often and almost everywhere around the globe and their
number is going to grow in the future. Together with that, a new
question arose, what to do with a bunch of new information received? A
huge lot of information has been gained in the satellite era, but its
practical appliance can be seen only in certain spheres of economics.
One of the spheres where data received from satellites are used effectively is agriculture. There is a range of agricultural problems which can be solved with the help of these data. Satellites are classified into ones of high resolution, of medium and of small. Basically for agriculture satellites of medium resolution of 5–250m per pixel are used. What can be seen in such satellite images and what tasks can be done with the help of satellite data?
Using satellite data one can judge about the level of cultivation of soil in specified area, identify actively cultivated and abandoned fields and define their configuration. Also with the help of satellite data it’s possible to get information about the current state of things without visiting a specific field. Analysis of satellite data allows understanding whether agricultural events are properly conducted, whether the technologies of cultivation are not violated, and whether soil requires additional treatment for enhancing fertility. With satellite images it’s possible to evaluate condition of agricultural plants; the normalized difference vegetation index (NDVI) is designed for that. The normalized difference vegetation index is a simple graphical indicator of biomass active photosynthetically that is calculated via several spectral channels. Satellite possesses from 10 to 30 spectral channels. Any satellite has its own set of channels which can be visible, infrared, ultraviolet, thermal, etc. Satellites measure the reflectance of the planet in many spectral resolutions as Earth looks different in various spectral resolutions. Plants reflect light well in one spectrum while plants do absorb it in another spectrum. Correlation of these indicators allows defining live green plants from other objects. The NDVI is one of the most well-known and used index to detect live green plant canopies and to evaluate vegetated areas, their condition and quality.
Analysis of historical data.
Historical data is information on the cultivation of fields, evaluation of their productivity and the efficiency of the technologies used. Currently a large archive on a daily survey of earth surface is gained. For example, satellites of MODIS system orbit earth on a daily basis since 2000.
In this archive history on any field cultivation for the last 15 years can be obtained. This is a great opportunity for insurance companies to receive information about a future customer and to decrease potential risks.
One of the spheres where data received from satellites are used effectively is agriculture. There is a range of agricultural problems which can be solved with the help of these data. Satellites are classified into ones of high resolution, of medium and of small. Basically for agriculture satellites of medium resolution of 5–250m per pixel are used. What can be seen in such satellite images and what tasks can be done with the help of satellite data?
Garden City, Kansas |
Using satellite data one can judge about the level of cultivation of soil in specified area, identify actively cultivated and abandoned fields and define their configuration. Also with the help of satellite data it’s possible to get information about the current state of things without visiting a specific field. Analysis of satellite data allows understanding whether agricultural events are properly conducted, whether the technologies of cultivation are not violated, and whether soil requires additional treatment for enhancing fertility. With satellite images it’s possible to evaluate condition of agricultural plants; the normalized difference vegetation index (NDVI) is designed for that. The normalized difference vegetation index is a simple graphical indicator of biomass active photosynthetically that is calculated via several spectral channels. Satellite possesses from 10 to 30 spectral channels. Any satellite has its own set of channels which can be visible, infrared, ultraviolet, thermal, etc. Satellites measure the reflectance of the planet in many spectral resolutions as Earth looks different in various spectral resolutions. Plants reflect light well in one spectrum while plants do absorb it in another spectrum. Correlation of these indicators allows defining live green plants from other objects. The NDVI is one of the most well-known and used index to detect live green plant canopies and to evaluate vegetated areas, their condition and quality.
Let’s see what tasks can be performed with the NDVI.
Monitoring of crop emergence.
Real-time monitoring allows supervising the current situation and forecasting crop yields. Using the NDVI it is possible to detect presence of plants, its dynamics of emergence and growth. Maps of the NDVI with dynamics (various seasons) let tracing peculiar features of seasonal vegetation, its deviations, allow planning, etc. For instance, knowing weather forecast, condition of plants and considering the current date, forecast about the amount of yield in the current year can be made. However, a specific feature of satellite monitoring should be taken in to consideration: satellite technology works for global tasks only, this technology is pointless for small farms. Small local farms do not need satellite technologies in their everyday operations. But this kind of information can be of great importance for wholesale purchasing companies. In this case information about extensive regions is of big interest: what region is more fertile, what plants grow widely and where wholesale can be done.
Real-time monitoring allows supervising the current situation and forecasting crop yields. Using the NDVI it is possible to detect presence of plants, its dynamics of emergence and growth. Maps of the NDVI with dynamics (various seasons) let tracing peculiar features of seasonal vegetation, its deviations, allow planning, etc. For instance, knowing weather forecast, condition of plants and considering the current date, forecast about the amount of yield in the current year can be made. However, a specific feature of satellite monitoring should be taken in to consideration: satellite technology works for global tasks only, this technology is pointless for small farms. Small local farms do not need satellite technologies in their everyday operations. But this kind of information can be of great importance for wholesale purchasing companies. In this case information about extensive regions is of big interest: what region is more fertile, what plants grow widely and where wholesale can be done.
Field of green onion. Colombia, Aquitania |
Historical data is information on the cultivation of fields, evaluation of their productivity and the efficiency of the technologies used. Currently a large archive on a daily survey of earth surface is gained. For example, satellites of MODIS system orbit earth on a daily basis since 2000.
In this archive history on any field cultivation for the last 15 years can be obtained. This is a great opportunity for insurance companies to receive information about a future customer and to decrease potential risks.
NDVI maps |
Accurate land tenure.
Nowadays global manufacturers of fertilizers provide quite complex products. These are not only fertilizers simply, but also compound technologic processes for specific kind of plants, for peculiar weather conditions. Basically, a half of the cost of maintaining crop comes to expenses on fertilizers, and issue of proper use of fertilizers is an actual task for farmers. Evaluation of field condition based on satellite, weather and historical data is an available remote tool for analyzing the efficiency of land tenure, which lets significantly reduce commercial risks and expenses on fertilizers.
Nowadays global manufacturers of fertilizers provide quite complex products. These are not only fertilizers simply, but also compound technologic processes for specific kind of plants, for peculiar weather conditions. Basically, a half of the cost of maintaining crop comes to expenses on fertilizers, and issue of proper use of fertilizers is an actual task for farmers. Evaluation of field condition based on satellite, weather and historical data is an available remote tool for analyzing the efficiency of land tenure, which lets significantly reduce commercial risks and expenses on fertilizers.
Evaluation of efficiency of water reclamation systems.
Condition of irrigation and drainage systems, their violation and failures can be estimated by comparative productivity of specific kinds of agricultural plants.
Condition of irrigation and drainage systems, their violation and failures can be estimated by comparative productivity of specific kinds of agricultural plants.
Evaluation of pastures and hunting grounds.
The NDVI allows effectively and at a low cost solving such tasks as assessment of quality of hunting grounds and of pasture productivity for planning of their usage and detecting violations of cattle grazing.
The NDVI allows effectively and at a low cost solving such tasks as assessment of quality of hunting grounds and of pasture productivity for planning of their usage and detecting violations of cattle grazing.
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