Satellite crop monitoring is the technology which facilitates real-time crop vegetation index monitoring via spectral analysis [1] of high resolution satellite images for different fields and crops which enables to track positive and negative dynamics of crop development. [2] [3] The difference in vegetation index informs about single-crop development disproportions that speaks for the necessity of additional agriculture works on particular field zones [4] —that is because satellite crop monitoring belongs to precision agriculture methods.
Satellite crop monitoring technology allows to perform online crop monitoring on different fields, located in different areas, regions, even countries and on different continents. The technology's advantage is a high automation level of sown area condition and its interpretation in an interactive map which can be read by different groups of users. [5] [6]
Satellite crop monitoring technology users are:
Precision agriculture (PA) is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of agricultural production.” It is used in both crop and livestock production. Precision agriculture often employs technologies to automate agricultural operations, improving their diagnosis, decision-making or performing. The goal of precision agriculture research is to define a decision support system for whole farm management with the goal of optimizing returns on inputs while preserving resources.
Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object, in contrast to in situ or on-site observation. The term is applied especially to acquiring information about Earth and other planets. Remote sensing is used in numerous fields, including geophysics, geography, land surveying and most Earth science disciplines. It also has military, intelligence, commercial, economic, planning, and humanitarian applications, among others.
Satellite images are images of Earth collected by imaging satellites operated by governments and businesses around the world. Satellite imaging companies sell images by licensing them to governments and businesses such as Apple Maps and Google Maps.
The Global Earth Observation System of Systems (GEOSS) was built by the Group on Earth Observations (GEO) on the basis of a 10-Year Implementation Plan running from 2005 to 2015. GEOSS seeks to connect the producers of environmental data and decision-support tools with the end users of these products, with the aim of enhancing the relevance of Earth observations to global issues. GEOSS aims to produce a global public infrastructure that generates comprehensive, near-real-time environmental data, information and analyses for a wide range of users. The Secretariat Director of Geoss is Barbara Ryan.
RapidEye AG was a German geospatial information provider focused on assisting in management decision-making through services based on their own Earth-observation imagery. The company operated a five-satellite constellation producing 5-meter resolution imagery that was designed and implemented by MacDonald Dettwiler of Richmond, Canada.
The normalized difference vegetation index (NDVI) is a widely-used metric for quantifying the health and density of vegetation using sensor data. It is calculated from spectrometric data at two specific bands: red and near-infrared. The spectrometric data is usually sourced from remote sensors, such as satellites.
The Meteosat visible and infrared imager is the scientific instrument package on board the seven Meteosat first-generation geostationary meteorological satellites. This instrument is capable of capturing images in the visible, infrared, and water vapor regions of the electromagnetic spectrum.
Copernicus is the Earth observation component of the European Union Space Programme, managed by the European Commission and implemented in partnership with the EU member states, the European Space Agency (ESA), the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), the European Centre for Medium-Range Weather Forecasts (ECMWF), the Joint Research Centre (JRC), the European Environment Agency (EEA), the European Maritime Safety Agency (EMSA), Frontex, SatCen and Mercator Océan.
Sentinel-2 is an Earth observation mission from the Copernicus Programme that acquires optical imagery at high spatial resolution over land and coastal waters. The mission's Sentinel-2A and Sentinel-2B satellites were joined in orbit in 2024 by a third, Sentinel-2C, and in the future by Sentinel-2D, eventually replacing the A and B satellites, respectively.
The Operational Land Imager (OLI) is a remote sensing instrument aboard Landsat 8, built by Ball Aerospace & Technologies. Landsat 8 is the successor to Landsat 7 and was launched on February 11, 2013.
Precision viticulture is precision farming applied to optimize vineyard performance, in particular maximizing grape yield and quality while minimizing environmental impacts and risk. This is accomplished by measuring local variation in factors that influence grape yield and quality and applying appropriate viticulture management practices. Precision viticulture is based on the premise that high in-field variability for factors that affect vine growth and grape ripening warrants intensive management customized according to local conditions. Precision viticulture depends on new and emerging technologies such as global positioning systems (GPS), meteorologic and other environmental sensors, satellite and airborne remote sensing, and geographic information systems (GIS) to assess and respond to variability.
PROBA-V, or PROBA-Vegetation, is a satellite in the European Space Agency's PROBA series. It was launched in 2013 with a predicted usable lifetime between 2.5 and 5 years.
The Climate Corporation is a digital agriculture company that examines weather, soil and field data to help farmers determine potential yield-limiting factors in their fields.
The Central Institute of Agricultural Engineering (CIAE) is a higher seat of learning, research and development in the field of agricultural engineering, situated in the lake city of Bhopal, Madhya Pradesh, India. It is an autonomous body, an Indian Council of Agricultural Research subsidiary, under the Ministry of Agriculture & Farmer's Welfare, Government of India.
Normalized Difference Water Index (NDWI) may refer to one of at least two remote sensing-derived indexes related to liquid water:
Agricultural technology or agrotechnology is the use of technology in agriculture, horticulture, and aquaculture with the aim of improving yield, efficiency, and profitability. Agricultural technology can be products, services or applications derived from agriculture that improve various input and output processes.
A vegetation index (VI) is a spectral imaging transformation of two or more image bands designed to enhance the contribution of vegetation properties and allow reliable spatial and temporal inter-comparisons of terrestrial photosynthetic activity and canopy structural variations.
Heather McNairn, is a federal research scientist at the Ottawa Research and Development Centre, Agriculture and Agri-Food Canada. She specializes in remote sensing technology, and her research focuses on the use of Synthetic Aperture Radar satellites (SARs) to monitor the condition of crops and soils.
Digital agriculture, sometimes known as smart farming or e-agriculture, are tools that digitally collect, store, analyze, and share electronic data and/or information in agriculture. The Food and Agriculture Organization of the United Nations has described the digitalization process of agriculture as the digital agricultural revolution. Other definitions, such as those from the United Nations Project Breakthrough, Cornell University, and Purdue University, also emphasize the role of digital technology in the optimization of food systems.
Index-based insurance, also known as index-linked insurance, weather-index insurance or, simply, index insurance, is primarily used in agriculture. Because of the high cost of assessing losses, traditional insurance based on paying indemnities for actual losses incurred is usually not viable, particularly for smallholders in developing countries. With index-based insurance, payouts are related to an “index” that is closely correlated to agricultural production losses, such as one based on rainfall, yield or vegetation levels. Payouts are made when the index exceeds a certain threshold, often referred to as a “trigger”. By making payouts according to an index instead of individual claims, providers can circumvent the transaction costs associated with claims assessments. Index-based insurance is therefore not designed to protect farmers against every peril, but only where there is a widespread risk that significantly influences a farmer’s livelihood. Many such indices now make use of satellite imagery.
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