- "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 use of satellite and other technologies to gather information about the earth from a distance, including mapping and monitoring of crops and soil.
Electromagnetic Spectrum: Understanding the concept of electromagnetic radiation and how it behaves when interacting with different objects and surfaces is crucial in remote sensing. This includes the understanding of wavelengths, frequencies, and energy levels.
Remote Sensing Platforms: There are various platforms used for remote sensing, including satellite-based sensors and ground-based sensors. Understanding the various platforms, their properties, and limitations is essential to choose the right one for the intended task.
Spectral reflectance: Spectral reflectance is a measurement of the amount of light reflected by different objects or surfaces at different wavelengths. This property is used to identify and differentiate different land cover types.
Image Processing techniques: Image processing techniques such as filtering, enhancement, classification, and segmentation are used to extract information from remotely sensed data.
Radiometric Calibration: This process involves converting the raw digital counts from a remote sensing instrument into meaningful physical units such as radiance and reflectance.
Spatial Resolution: Spatial resolution refers to the size of the smallest object that can be identified in an image. Understanding the limitations of spatial resolution is essential when using remote sensing data.
Temporal Resolution: Temporal resolution is the frequency of which images are captured by a remote sensing instrument over a given area. This can be daily, weekly, monthly, or seasonal, and it determines the temporal accuracy of the data.
Vegetation indices: Vegetation indices such as Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) are used to monitor vegetation health and biomass production.
Soil Moisture Indicators: Soil Moisture Indicators such as Surface Soil Moisture and Root-zone Soil Moisture can be determined using remote sensing data.
Crop Identification: Remote sensing data can be used to classify different crops and estimate their yield.
Precision agriculture: Remote sensing data can be used in precision agriculture applications such as variable rate applications of chemicals and fertilizers.
Climate Change: Remote sensing data can be used as a tool to study climate change and its impact on agriculture.
Remote Sensing Applications: There are various applications of remote sensing in agriculture, including crop yield estimation, land use and land cover mapping, precision agriculture, phenology studies, and irrigation management.
Aerial photography: A technique that involves taking photographs of the earth's surface from an elevated position to gain detailed information about an area's topography, vegetation cover, and other features.
Spectral Remote Sensing: Using sensors to measure light reflected from the earth's surface to determine the different wavelengths of light received from different types of vegetation, crops, and other objects.
Thermal Remote Sensing: The technique of measuring the amount of infrared radiation emitted by the earth's surface, which is related to temperature.
Microwave Radar Remote Sensing: A technology that uses radar to record and analyse the interference and signal scattered back from agricultural areas and other terrain.
LiDAR (Light Detection and Ranging): A technique that uses laser light to measure the height and density of vegetation, detect forest fires, and examine possible lightning strikes.
multispectral Imaging: An imaging system that captures different wavelengths of sunlight using specific filters. This technique is often used for land use mapping and crop classification.
Hyperspectral Imaging: Similar to multispectral imaging but captures wavelengths within much higher resolution, making it much more sensitive to subtle changes in crop conditions or growth patterns.
Photogrammetry: A method that involves using aerial imagery to create 3D models of agricultural sites or topographic features.
Unmanned Aerial Vehicle (UAV): UAVs are commonly used in a range of remote sensing applications, including ground-level photogrammetry, real-time crop monitoring, and airborne monitoring of different farms.
Global Positioning Systems (GPS): A system that uses radio signals to map and track the location and movements of objects with extreme accuracy. In agriculture, GPS can be used in the automated guidance of onsite equipment.
Geographic Information Systems (GIS): A system that uses spatial data to map and analyze information about varying crops and other land use systems.
Machine Learning (ML) and Artificial Intelligence (AI): Now, a range of advanced techniques are being developed using ML or AI that allows real-time image processing, analytics, and detection of agriculture fields. It allows businesses and farmers to improve plant health, yield and grass quality data in real-time.
- "Remote sensing is used in numerous fields, including geophysics, geography, land surveying, and most Earth science disciplines."
- "Exploration geophysics, hydrology, ecology, meteorology, oceanography, glaciology, geology"
- "It also has military, intelligence, commercial, economic, planning, and humanitarian applications, among others."
- "The term remote sensing generally refers to the use of satellite- or aircraft-based sensor technologies to detect and classify objects on Earth."
- "It includes the surface and the atmosphere and oceans, based on propagated signals."
- "Active remote sensing is when a signal is emitted by a satellite or aircraft to the object and its reflection detected by the sensor." - "Passive remote sensing is when the reflection of sunlight is detected by the sensor."
- "The term is applied especially to acquiring information about Earth and other planets."
- "It includes the surface and the atmosphere and oceans, based on propagated signals (e.g. electromagnetic radiation)."
- "It may be split into 'active' remote sensing and 'passive' remote sensing."
- "Active remote sensing is when a signal is emitted by a satellite or aircraft to the object and its reflection detected by the sensor." - "Passive remote sensing is when the reflection of sunlight is detected by the sensor."
- "The term remote sensing generally refers to the use of satellite- or aircraft-based sensor technologies to detect and classify objects on Earth."
- "It includes the surface and the atmosphere and oceans, based on propagated signals (e.g. electromagnetic radiation)."
- "Exploration geophysics, hydrology, ecology, meteorology, oceanography, glaciology, geology"
- "It also has military, intelligence, commercial, economic, planning, and humanitarian applications, among others."
- "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 the acquisition of information about an object or phenomenon without making physical contact with the object."
- "Remote sensing is used in numerous fields, including geophysics, geography, land surveying and most Earth science disciplines."
- "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."