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Survey of hyperspectral earth observation applications from space in the sentinel-2 context
In the last few decades, researchers have developed a plethora of hyperspectral Earth
Observation (EO) remote sensing techniques, analysis and applications. While …
Observation (EO) remote sensing techniques, analysis and applications. While …
Geoinformation technologies in support of environmental hazards monitoring under climate change: An extensive review
Human activities and climate change constitute the contemporary catalyst for natural
processes and their impacts, ie, geo-environmental hazards. Globally, natural catastrophic …
processes and their impacts, ie, geo-environmental hazards. Globally, natural catastrophic …
Imaging spectroscopy algorithms for map** canopy foliar chemical and morphological traits and their uncertainties
A major goal of remote sensing is the development of generalizable algorithms to repeatedly
and accurately map ecosystem properties across space and time. Imaging spectroscopy has …
and accurately map ecosystem properties across space and time. Imaging spectroscopy has …
Estimating the effect of gypsy moth defoliation using MODIS
The area of North American forests affected by gypsy moth defoliation continues to expand
despite efforts to slow the spread. With the increased area of infestation, ecological …
despite efforts to slow the spread. With the increased area of infestation, ecological …
A general Landsat model to predict canopy defoliation in broadleaf deciduous forests
Defoliation by insect herbivores can be a persistent disturbance affecting ecosystem
functioning. We developed an approach to map canopy defoliation due to gypsy moth based …
functioning. We developed an approach to map canopy defoliation due to gypsy moth based …
Imaging spectroscopy of forest ecosystems: Perspectives for the use of space-borne hyperspectral earth observation systems
The emerging challenges in preserving and managing forest ecosystems are multiscale in
terms of space and time, and therefore require spatially and temporally contiguous …
terms of space and time, and therefore require spatially and temporally contiguous …
Forecasting tree mortality using change metrics derived from MODIS satellite data
Insect-induced tree mortality can cause substantial timber and carbon losses in many
regions of the world. There is a critical need to forecast tree mortality to guide forest …
regions of the world. There is a critical need to forecast tree mortality to guide forest …
Using hyperspectral plant traits linked to photosynthetic efficiency to assess N and P partition
Spatial prediction of photosynthesis requires an understanding of how foliage nitrogen (N)
and phosphorus (P) regulate this process and the relationship between these elements and …
and phosphorus (P) regulate this process and the relationship between these elements and …
[PDF][PDF] Remote sensing of forest damage by diseases and insects
Forests are an integral part of natural ecosystems, providing numerous ecological,
economic, social, and cultural services (Boyd et al. 2013; Chen et al. 2015a). For example …
economic, social, and cultural services (Boyd et al. 2013; Chen et al. 2015a). For example …
A MODIS approach to predicting stream water quality in Wisconsin
Efforts to predict water quality often rely heavily on static landuse/land-cover (LULC)
classifications derived from remote sensing imagery. However, LULC classifications are …
classifications derived from remote sensing imagery. However, LULC classifications are …