Application of Remote Sensing Data for the Assessment of the Ujuk Mountain Boreal Forests (The Tyva Republic, Russia)

Geography, Environment, Sustainability - Russian Federation
doi 10.15356/2071-9388_01v09_2016_07
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Russian Geographical Society

Related search

Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment

Mountain Research and Development
DevelopmentEnvironmental ChemistryEnvironmental Science
2019English

Restoration of Agroecosystems in the Republic of Tyva

Plant Biology and Horticulture: theory, innovation
2019English

Diversity of Lichens and Allied Fungi on Norway Spruce (Picea Abies) in the Middle Boreal Forests of Republic of Karelia (Russia)

Folia Cryptogamica Estonica
SystematicsEvolutionEcologyPlant ScienceBehavior
2018English

Assessment of the Chemical State of Soil Environment From Remote Sensing Data of the Earth

Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa
Computer NetworksComputer Science ApplicationsComputers in Earth SciencesCommunications
2018English

Diversity and Distribution of Epiphytic Lichens and Bryophytes on Aspen (Populus Tremula) in the Middle Boreal Forests of Republic of Karelia (Russia)

Folia Cryptogamica Estonica
SystematicsEvolutionEcologyPlant ScienceBehavior
2017English

Land Surface Temperature in the Tyva Republic in the Winters of 2014-2017 by Landsat-8 Data

Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa
Computer NetworksComputer Science ApplicationsComputers in Earth SciencesCommunications
2018English

Variable Retention Forestry in European Boreal Forests in Russia

Ecological Processes
Ecological ModelingEcology
2019English

Rapid Remote Sensing Assessment of Impacts From Hurricane Maria on Forests of Puerto Rico

2018English

The Application of Multi- And Hyperspectral Remote Sensing Techniques in the Assessment of Stress Factors in Maize Crops

Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy