With the advent of the ever-increasing constellation of satellites, monitoring of global natural resources has widely been used using observations of satellites. Monitoring of ecosystems and their dynamics involving the application of remote sensing-based observation has extensively been used for agricultural crops, forests, water bodies, wetlands, etc. Remote sensing provides cost-effective systematic and continuous monitoring for a larger area varying from local to global scale. Various physical and functional properties of ecosystems can be studied using remote sensing-based observations. Starting from the study of the current state of an ecosystem to various interlinked entities and processes, impacting the physical state and functioning of an ecosystem can be studied using remote sensing.
We invite illustrations of research works involving remote sensing applications for the study of multiple ecosystems such as agriculture, forests, water bodies, wetlands, etc. Case studies demonstrating the application of remote sensing to study the changing state of an ecosystem and factors impacting its state are invited in this Research Topic. Advance analytical tools that demonstrate the use of multi-source data integration, machine learning-based algorithms, and other advanced analytical tools are encouraged for their submission in this Research Topic. Remote sensing has also been used for the vulnerability and hazard assessments linked with various ecosystems. Climate change impacting ecosystems also has the application of remote sensing based long term observations. All such illustrations that provide answers to the magnitude of hazards and impacts are invited as part of this Research Topic.
We encourage the submission of recent advancements that have happened in using remote sensing-based observation for ecosystem studies. Authors are especially encouraged to submit works related to agricultural ecosystems, forests, water bodies, and wetlands. Land use land cover change dynamics and interlinked factors that drive these changes are also encouraged to submit to this Research Topic. Climate change impact studies linked to various ecosystems that use remote sensing-based observation as well as the use of Google Earth Engine, Machine Learning, and other advanced tools for the processing of a large amount of data to extract valuable information about ecosystems are called to submit their work to this Research Topic.
With the advent of the ever-increasing constellation of satellites, monitoring of global natural resources has widely been used using observations of satellites. Monitoring of ecosystems and their dynamics involving the application of remote sensing-based observation has extensively been used for agricultural crops, forests, water bodies, wetlands, etc. Remote sensing provides cost-effective systematic and continuous monitoring for a larger area varying from local to global scale. Various physical and functional properties of ecosystems can be studied using remote sensing-based observations. Starting from the study of the current state of an ecosystem to various interlinked entities and processes, impacting the physical state and functioning of an ecosystem can be studied using remote sensing.
We invite illustrations of research works involving remote sensing applications for the study of multiple ecosystems such as agriculture, forests, water bodies, wetlands, etc. Case studies demonstrating the application of remote sensing to study the changing state of an ecosystem and factors impacting its state are invited in this Research Topic. Advance analytical tools that demonstrate the use of multi-source data integration, machine learning-based algorithms, and other advanced analytical tools are encouraged for their submission in this Research Topic. Remote sensing has also been used for the vulnerability and hazard assessments linked with various ecosystems. Climate change impacting ecosystems also has the application of remote sensing based long term observations. All such illustrations that provide answers to the magnitude of hazards and impacts are invited as part of this Research Topic.
We encourage the submission of recent advancements that have happened in using remote sensing-based observation for ecosystem studies. Authors are especially encouraged to submit works related to agricultural ecosystems, forests, water bodies, and wetlands. Land use land cover change dynamics and interlinked factors that drive these changes are also encouraged to submit to this Research Topic. Climate change impact studies linked to various ecosystems that use remote sensing-based observation as well as the use of Google Earth Engine, Machine Learning, and other advanced tools for the processing of a large amount of data to extract valuable information about ecosystems are called to submit their work to this Research Topic.
