Remote sensing for agricultural applications: A meta-review
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …
for human livelihood. Today, this role must be satisfied within a context of environmental …
[HTML][HTML] Optical remotely sensed time series data for land cover classification: A review
Accurate land cover information is required for science, monitoring, and reporting. Land
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …
Global 10 m land use land cover datasets: A comparison of dynamic world, world cover and esri land cover
The European Space Agency's Sentinel satellites have laid the foundation for global land
use land cover (LULC) mapping with unprecedented detail at 10 m resolution. We present a …
use land cover (LULC) mapping with unprecedented detail at 10 m resolution. We present a …
Land cover 2.0
Interest in knowing more about the Earth's land cover and how it has changed over time
motivated the mission and sensor design of early terrestrial remote sensing systems. Rapid …
motivated the mission and sensor design of early terrestrial remote sensing systems. Rapid …
Biodiversity and ecosystem services in forest ecosystems: a research agenda for applied forest ecology
AS Mori, KP Lertzman… - Journal of Applied …, 2017 - Wiley Online Library
Given the substantial contributions of forest biodiversity and ecosystem services to society,
forest sciences have a large potential to contribute to the integrity and sustainability of our …
forest sciences have a large potential to contribute to the integrity and sustainability of our …
[HTML][HTML] On the importance of training data sample selection in random forest image classification: A case study in peatland ecosystem mapping
K Millard, M Richardson - Remote sensing, 2015 - mdpi.com
Random Forest (RF) is a widely used algorithm for classification of remotely sensed data.
Through a case study in peatland classification using LiDAR derivatives, we present an …
Through a case study in peatland classification using LiDAR derivatives, we present an …
Remote sensing for lake research and monitoring–Recent advances
K Dörnhöfer, N Oppelt - Ecological Indicators, 2016 - Elsevier
Lakes are important ecosystems providing various ecosystem services. Stressors such as
eutrophication or climate change, however, threaten their ecological functions. National and …
eutrophication or climate change, however, threaten their ecological functions. National and …
[HTML][HTML] Global assessment of mountain ecosystem services using earth observation data
A Grêt-Regamey, B Weibel - Ecosystem Services, 2020 - Elsevier
Ecosystem services assessments have the potential to support negotiating the complex
trade-offs between conservation goals and other economic, political and social agendas …
trade-offs between conservation goals and other economic, political and social agendas …
[HTML][HTML] Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation
Land degradation is a critical issue globally requiring immediate actions for protecting
biodiversity and associated services provided by ecosystems that are supporting human …
biodiversity and associated services provided by ecosystems that are supporting human …
[HTML][HTML] Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
and the ecosystem services people rely on. This is why it is necessary to track and monitor …