Results 21 to 30 of about 3,455,384 (266)
Boreal forest biomass classification with TanDEM-X [PDF]
, 2012 High spatial resolution X-band interferometric SAR data from the TanDEM-X, in the operational DEM generation mode, are sensitive to forest structure and can therefore be used for thematic boreal forest classification of forest environments.
Kostas Papathanassiou +7 more
core +1 more source
Remote Sensing, 2016 We investigated the use of multi-spectral Landsat OLI imagery for delineating mangrove, lowland evergreen, upland evergreen and mixed deciduous forest types in Myanmar’s Tanintharyi Region and estimated the extent of degraded forest for each unique ...
Grant Connette +3 more
doaj +1 more source
CLASSIFICATION OF TREES IN HYPERSPECTRAL CANOPY DATA USING MACHINE LEARNING: COMPARATIVE ANALYSIS OF FOREST STRUCTURE COMPLEXITY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The classification of tree species by remote sensing is an important task with a broad range of applications, including forest management, environmental monitoring, and climate change studies.
F. Galdames +7 more
doaj +1 more source
Determination Of Stratification Boundary For Forest And Non Forest Multitemporal Classification To Support Redd In Sumatera Islan [PDF]
, 2013 Multi-temporal classification is a method to determine forest and non-forest by considering a missing data, such as cloud cover using correlations value from the other data. This circumstances is frequently occured in a tropical area such as in Indonesia.
Tatik Kartika +5 more
core +1 more source
, 2022 Flow chart of classification using Random Forest algorithm (Source: https://www.section.io/engineering-education/introduction-to-random-forest-in-machine-learning/).
Pham Minh Hai (14201069) +7 more
core +1 more source
Forests classification with the use of field guide of European Russia forest types (on the example of Karelia and Karelian isthmus) [PDF]
Вопросы лесной науки, 2018 The forests of Karelia and the Karelian Isthmus were classified by field guide of European Russia forest types, which was developed by L. B. Zaugolnova and V.B Martynenko. The studied forests were classified into five main sections: lichenous, green moss,
A.V. Gornov
doaj +1 more source
Development of the spectral forest index in the Khangai region, Mongolia using Sentinel-2 imagery
Forest Science and Technology, 2023 Mongolian forests have low productivity and growth and are vulnerable to disturbances. Additionally, it is difficult to control and evaluate the forested areas. Therefore, satellite data and surveillance methods are needed to study mountain forests. This
Bayanmunkh Norovsuren +3 more
doaj +1 more source
Forest change mapping in northeast China using SAR and INSAR data [PDF]
, 2011 One of the objectives of Forest Dragon 2 project is the generation of a forest cover change map between 1990s and 2000s for Northeast China based on ERS-1/2 tandem data and ENVISAT ASAR data.
Leiterer, Reik +9 more
core +2 more sources
Remote Sensing, 2021 Woody plant encroachment into grasslands ecosystems causes significantly ecological destruction and economic losses. Effective and efficient management largely benefits from accurate and timely detection of encroaching species at an early development ...
Lin Wang +7 more
doaj +1 more source
Remote Sensing, 2018 The study considers a forest inventory for the mean volume, basal area, and coniferous/deciduous mapping of a large territory in central Siberia (Russia), employing a camera relascope at arbitrary sized sample plots and medium resolution satellite ...
Georgy Rybakov +7 more
doaj +1 more source