Review of studies on tree species classification from remotely sensed data
Spatially explicit information on tree species composition of managed and natural forests,
plantations and urban vegetation provides valuable information for nature conservationists …
plantations and urban vegetation provides valuable information for nature conservationists …
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 …
Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets
Recognizing the imperative need for biodiversity protection, the convention on biological
diversity (CBD) has recently established new targets towards 2020, the so-called Aichi …
diversity (CBD) has recently established new targets towards 2020, the so-called Aichi …
Individual tree crown segmentation and classification of 13 tree species using airborne hyperspectral data
Knowledge of the distribution of tree species within a forest is key for multiple economic and
ecological applications. This information is traditionally acquired through time-consuming …
ecological applications. This information is traditionally acquired through time-consuming …
Comparison of feature reduction algorithms for classifying tree species with hyperspectral data on three central European test sites
Tree species information is a basic variable for forest inventories. Knowledge on tree
species is relevant for biomass estimation, habitat quality assessment, and biodiversity …
species is relevant for biomass estimation, habitat quality assessment, and biodiversity …
Urban vegetation classification: Benefits of multitemporal RapidEye satellite data
Global climate change and sustained urban growth have increased the necessity of
assessing the role that urban vegetation plays in urban dwellers' lives, as well as in urban …
assessing the role that urban vegetation plays in urban dwellers' lives, as well as in urban …
The auto arborist dataset: a large-scale benchmark for multiview urban forest monitoring under domain shift
Generalization to novel domains is a fundamental challenge for computer vision. Near-
perfect accuracy on benchmarks is common, but these models do not work as expected …
perfect accuracy on benchmarks is common, but these models do not work as expected …
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 …
Merging multiple sensing platforms and deep learning empowers individual tree map** and species detection at the city scale
The precise estimation of the number of trees, their individual tree locations, along with
species information, is crucial for enhancing ecosystem services in urban areas. Previous …
species information, is crucial for enhancing ecosystem services in urban areas. Previous …
Crop type map** from pansharpened Landsat 8 NDVI data: A case of a highly fragmented and intensive agricultural system
Retrieving crops and their location, as well as their spatial extent, are useful information for
agricultural planning and better management of irrigation water resources as well as for crop …
agricultural planning and better management of irrigation water resources as well as for crop …