scholarly journals FOREST COVER DIGITAL MAPPING OF THE KARELIAN PART OF THE WHITE SEA COASTAL ZONE BASED ON IMPROVED INTERPRETATION METHOD OF REMOTE SENSING DATA

2019 ◽  
pp. 87
Author(s):  
Виктор Владимирович Тарасенко ◽  
Борис Владимирович Раевский ◽  
Viktor Tarasenko ◽  
Boris Raevsky
Keyword(s):  
Remote Sensing ◽  
Coastal Zone ◽  
Forest Cover ◽  
White Sea ◽  
Remote Sensing Data ◽  
The White Sea ◽  
Sensing Data ◽  
Digital Mapping ◽  
Interpretation Method

scholarly journals Estimation of forest cover restoration damaged by Siberian silkmoth using remote sensing data and maps

2019 ◽  
Vol 75 ◽  
pp. 02005
Author(s):  
Elena Fedotova
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Tree Species ◽  
Forest Cover ◽  
Remote Sensing Data ◽  
Deciduous Forests ◽  
Sensing Data ◽  
Current State

The current state of the land cover has been estimated in the territories where in different years (1885, 1955, 1995) the forests were damaged by Siberian silkmoth. Dark-needle taiga is restored through the change of tree species. In 20 years in areas of dark-needle taiga there are graminoid communities, in 60 years we have deciduous forests there, and in 130 - dark needle forests, but not everywhere.

scholarly journals Mapping Mature Post-Agricultural Forests in the Polish Eastern Carpathians with Archival Remote Sensing Data

2021 ◽  
Vol 13 (10) ◽  
pp. 2018
Author(s):  
Zofia Jabs-Sobocińska ◽  
Andrzej N. Affek ◽  
Ireneusz Ewiak ◽  
Mihai Daniel Nita
Keyword(s):  
Remote Sensing ◽  
Satellite Images ◽  
Management Practices ◽  
Forest Cover ◽  
Remote Sensing Data ◽  
Aerial Photographs ◽  
Secondary Forests ◽  
Agricultural Lands ◽  
Sensing Data ◽  
Eastern Carpathians

Post-WWII displacements in the Polish Carpathians resulted in widespread land abandonment. Most of the pre-war agricultural areas are now covered with secondary forests, which will soon reach the felling age. Mapping their exact cover is crucial to investigate succession–regeneration processes and to determine their role in the landscape, before making management decisions. Our goal was to map post-agricultural forests in the Polish Eastern Carpathians using archival remote sensing data, and to assess their connectivity with pre-displacement forests. We used German Flown Aerial Photography from 1944 to map agricultural lands and forests from before displacements, and Corona satellite images to map agricultural lands which converted into the forest as a result of this event. We classified archival images using Object-Based Image Analysis (OBIA) and compared the output with the current forest cover derived from Sentinel-2. Our results showed that mature (60–70 years old) post-agricultural forests comprise 27.6% of the total forest area, while younger post-agricultural forests comprise 9%. We also demonstrated that the secondary forests fill forest gaps more often than form isolated patches: 77.5% of patches are connected with the old-woods (forests that most likely have never been cleared for agriculture). Orthorectification and OBIA classification of German Flown Aerial Photographs and Corona satellite images made it possible to accurately determine the spatial extent of post-agricultural forest. This, in turn, paves the way for the implementation of site-specific forest management practices to support the regeneration of secondary forests and their biodiversity.

scholarly journals Study on the impact of coastal land use change on environment based on remote sensing data

2021 ◽  
Vol 267 ◽  
pp. 01061
Author(s):  
Liu Yong ◽  
Yunlin Chen
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Economic Development ◽  
Coastal Zone ◽  
Remote Sensing Data ◽  
Impervious Surface ◽  
Target Object ◽  
Surface Features ◽  
Sensing Data ◽  
The Impact

The coastal zone is the bridge between the ocean and the mainland, the junction of the two ecosystems, the focus of the economic development of coastal cities and the gathering place of ports. Remote sensing technology uses the detector to receive the electromagnetic wave from the target object. After processing the information, it can distinguish the attributes of the target object. It is widely used in marine development, aerospace understanding, resource exploration and other fields.In this paper, the coastal zone of Shangyu Economic Development Zone on the south coast of Hangzhou Bay is taken as the research area. Using multi-source remote sensing data, information extraction, change monitoring and analysis are carried out from the perspective of marine and land ecosystems, and the impact of coastal development on the coastal zone is discussed. The main conclusions are as follows: (a) Using visual interpretation method, it is found that the coastline of the study area changes obviously, and the decrease trend is below the total coastline length; Fractal dimension index is used to characterize the natural condition of coastline. The total coastline length, natural coastline and artificial coastline all increase, which means that the amount of beach sediment deposition and the degree of artificial intervention have increased in this stage. (b) The object-oriented method is used to extract the land use classification of the coastal zone in the study area. Cultivated land is the main land type in the study area, and the impervious surface is the fastest growing. The degree of artificial development of the whole study area is gradually increasing, and the coastal beach area is greatly reduced, and the impervious surface area is greatly increased. Wetland and impervious surface are the two most dramatic changes in the study period. Wetland is mainly transformed into other surface features, while impervious surface is mainly transformed into other surface features.

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