Hyperspectral classification of plants: A review of waveband selection generalisability
Hyperspectral sensing, measuring reflectance over visible to shortwave infrared
wavelengths, has enabled the classification and map** of vegetation at a range of …
wavelengths, has enabled the classification and map** of vegetation at a range of …
Forest stand species map** using the Sentinel-2 time series
Accurate information regarding forest tree species composition is useful for a wide range of
applications, both for forest management and scientific research. Remote sensing is an …
applications, both for forest management and scientific research. Remote sensing is an …
Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images
E Raczko, B Zagajewski - European Journal of Remote Sensing, 2017 - Taylor & Francis
Knowledge of tree species composition in a forest is an important topic in forest
management. Accurate tree species maps allow for much more detailed and in-depth …
management. Accurate tree species maps allow for much more detailed and in-depth …
[HTML][HTML] Assessment of PRISMA water reflectance using autonomous hyperspectral radiometry
Hyperspectral remote sensing reflectance (Rrs) derived from PRISMA in the visible and
infrared range was evaluated for two inland and coastal water sites using above-water in …
infrared range was evaluated for two inland and coastal water sites using above-water in …
Tree species classification in temperate forests using Formosat-2 satellite image time series
Map** forest composition is a major concern for forest management, biodiversity
assessment and for understanding the potential impacts of climate change on tree species …
assessment and for understanding the potential impacts of climate change on tree species …
Assessing the utility WorldView-2 imagery for tree species map** in South African subtropical humid forest and the conservation implications: Dukuduku forest patch …
Indigenous forest biome in South Africa is highly fragmented into patches of various sizes
(most patches< 1 km 2). The utilization of timber and non-timber resources by poor rural …
(most patches< 1 km 2). The utilization of timber and non-timber resources by poor rural …
Tree species classification based on explicit tree structure feature parameters derived from static terrestrial laser scanning data
Tree species information is essential for forest studies such as forest meteorology, botany
and ecology, and across the relevant fields new techniques efficient for classifying tree …
and ecology, and across the relevant fields new techniques efficient for classifying tree …
Identification of banana fusarium wilt using supervised classification algorithms with UAV-based multi-spectral imagery
The disease of banana Fusarium wilt currently threatens banana production areas all over
the world. Rapid and large-area monitoring of Fusarium wilt disease is very important for the …
the world. Rapid and large-area monitoring of Fusarium wilt disease is very important for the …
Classifying California plant species temporally using airborne hyperspectral imagery
Accurate knowledge of seasonal and inter-annual distributions of plant species is required
for many research and management agendas that track ecosystem health. Airborne imaging …
for many research and management agendas that track ecosystem health. Airborne imaging …
Accuracies achieved in classifying five leading world crop types and their growth stages using optimal earth observing-1 hyperion hyperspectral narrowbands on …
As the global population increases, we face increasing demand for food and nutrition.
Remote sensing can help monitor food availability to assess global food security rapidly and …
Remote sensing can help monitor food availability to assess global food security rapidly and …