Results 11 to 20 of about 3,455,384 (266)

Development of database “North Eurasia forest vegetation” in Center for Forest Ecology and Productivity RAS [PDF]

Вопросы лесной науки, 2020
Published information about databases of digitized geobotanical relevés promotes cooperation between researchers who analyze vegetation biodiversity, exchange of used data and, therefore, the representativeness of research.
T.Yu. Braslavskaya, E.V. Tikhonova, E.V. Basova, T.S. Prokazina   +3 more
doaj   +1 more source

A Comparison of Random Forest Algorithm-Based Forest Extraction with GF-1 WFV, Landsat 8 and Sentinel-2 Images

Remote Sensing, 2022
Forests are an essential part of the ecosystem and play an irreplaceable role in maintaining the balance of the ecosystem and protecting biodiversity.
Xueli Peng, Guojin He, Wenqing She, Xiaomei Zhang, Guizhou Wang, Ranyu Yin, Tengfei Long   +6 more
doaj   +1 more source

European Wide Forest Classification Based on Sentinel-1 Data

Remote Sensing, 2021
The constellation of two Sentinel-1 satellites provides an unprecedented coverage of Synthetic Aperture Radar (SAR) data at high spatial (20 m) and temporal (2 to 6 days over Europe) resolution.
Alena Dostálová, Mait Lang, Janis Ivanovs, Lars T. Waser, Wolfgang Wagner   +4 more
doaj   +1 more source

Tree Species Classification in a Complex Brazilian Tropical Forest Using Hyperspectral and LiDAR Data [PDF]

, 2023
This study experiments with different combinations of UAV hyperspectral data and LiDAR metrics for classifying eight tree species found in a Brazilian Atlantic Forest remnant, the most degraded Brazilian biome with high fragmentation but with huge ...
Antonio Maria Garcia Tommaselli, Erika Akemi Saito Moriya, Honkavaara, Eija, Garcia Tommaselli, Antonio Maria [UNESP], Eija Honkavaara, Pereira Martins-Neto, Rorai, Hassan Camil David, David, Hassan Camil, Saito Moriya, Erika Akemi [UNESP], Imai, Nilton Nobuhiro, Tommaselli, Antonio Maria Garcia, Milto Miltiadou, Imai, Nilton Nobuhiro [UNESP], Rorai Pereira Martins-Neto, Martins-Neto, Rorai Pereira, Garcia Tommaselli, Antonio Maria, Miltiadou, Milto, Pereira Martins-Neto, Rorai [UNESP], Saito Moriya, Erika Akemi, Nilton Nobuhiro Imai   +19 more
core   +5 more sources

Assessment of biomass of forest species using satellite images of high spatial resolution (on the example of the forest of Khanty-Mansi Autonomous Okrug) [PDF]

Вопросы лесной науки, 2018
The paper describes assessment of spatial biomass of top wood layer based on combination of high-resolution Landsat-8 satellite images and selected ground forest inventory data measurements.
E.N. Sochilova, N.V. Surkov, D.V. Ershov, V.A. Khamedov   +3 more
doaj   +1 more source

Assessment of biomass of forest species using satellite images of high spatial resolution (on the example of the forest of Khanty-Mansi autonomous okrug) [PDF]

Вопросы лесной науки, 2019
The paper describes assessment of spatial biomass of top wood layer based on combination of high-resolution Landsat-8 satellite images and selected ground forest inventory data measurements.
E.N. Sochilova, N.V. Surkov, D.V. Ershov, V.A. Khamedov   +3 more
doaj   +1 more source

Assessing Forest Type and Tree Species Classification Using Sentinel-1 C-Band SAR Data in Southern Sweden

Remote Sensing, 2021
The multitemporal acquisition of images from the Sentinel-1 satellites allows continuous monitoring of a forest. This study focuses on the use of multitemporal C-band synthetic aperture radar (SAR) data to assess the results for forest type (FTY ...
Alberto Udali, Emanuele Lingua, Henrik J. Persson   +2 more
doaj   +1 more source

Application of Multi-Source Data for Mapping Plantation Based on Random Forest Algorithm in North China

Remote Sensing, 2022
The expansion of plantation poses new challenges for mapping forest, especially in mountainous regions. Using multi-source data, this study explored the capability of the random forest (RF) algorithm for the extraction and mapping of five forest types ...
Fan Wu, Yufen Ren, Xiaoke Wang
doaj   +1 more source

Improving the Accuracy of Estimating Forest Carbon Density Using the Tree Species Classification Method

, 2022
The accurate and effective estimation of forest carbon density is an essential basis for effectively responding to climate change and achieving the goal of carbon neutrality. Aiming at the problem of the significant differences in the forest carbon model
Gui Zhang, Xin Wu, Ziheng Pang, Sanqing Tan, Zhigao Yang   +4 more
core   +1 more source

Drought effects on the floristic differentiation of Greek fir forests in the mountains of central Greece

iForest - Biogeosciences and Forestry, 2015
Greek fir (Abies cephalonica Loudon) grows in montane Mediterranean climates characterized by dry, warm summers. Drought is an important climatic feature of these montane ecosystems as it affects the floristic composition, structure and distribution of ...
Samaras Dimitrios A, Gaertner S, Reif A, Theodoropoulos K   +3 more
doaj   +1 more source