Space Technology in Assessing the Ecology of Disturbed Lands at Diamond Deposits in Russia

2020 ◽  
Vol 24 (1) ◽  
pp. 34-39
Author(s):  
I.V. Zen’kov ◽  
P.M. Kondrashov ◽  
A.S. Morin ◽  
V.N. Vokin ◽  
E.V. Kiryushina ◽  
...  

The results of processing satellite images of mining landscapes formed during the extraction and processing of diamond-containing ore are presented, the coefficients of self-restoration of vegetation cover are determined. It has been established that in the conditions of a sharply continental climate, transitioning to a subpolar one, at intensive rates of developing diamond deposits by an open method, all types of vegetation cover are slowly forming, which does not meet the requirements for restoring the ecological balance when conducting business with diamond mining enterprises.

2020 ◽  
Vol 24 (1) ◽  
pp. 46-50
Author(s):  
I.V. Zen’kov ◽  
V.N. Vokin ◽  
E.V. Kiryushina ◽  
A.S. Morin ◽  
Zh.V. Mironova ◽  
...  

According to the results of processing satellite images of mining landscapes formed during the extraction and processing of diamond-containing ore, the coefficients of self-restoration of vegetation cover are determined. It has been established that in the mid-mountain and subpolar climate, at intensive rates of open-pit diamond mining, a very slow formation of all types of vegetation cover occurs, which does not meet the requirements of restoring the ecological balance when conducting business operations by diamond mining enterprises.


Author(s):  
L.L. Golubyatnikov ◽  
◽  
E.A. Zarov ◽  

To analyze changes in the vegetation cover on the territory of the Russian part of the Uvs Nuur Basin the images from the Landsat-5 and Landsat-8 satellites for the summer periods of 1988 and 2019 were used. Satellite images were processed in the GRASS geographic information system using the SMAP classification method. The Uvs Nuur Basin is located on the border of the Republic of Tuva and Mongolian People’s Republic. The region is characterized by a sharply continental climate with low snowy winters, hot and dry summers. A mosaic landscape structure of typical, dry and desert steppes is presented on the flat territory of the northern part of the Uvs Nuur Basin. Based on satellite information and the cartographic information, 9 landunits were identified in the studied territory of the Uvs Nuur Basin. According to the satellite images, the total area of the Russian part of the Uvs Nuur Basin is 19.5 thousand km2 . Changes in the areas of the selected landunits are estimated as a result of the satellite images classification. From the obtained results it was found that over the past 30 years, the area of cultivated fields in the northern part of the Uvs Nuur Basin has decreased by 80 %. Steppe vegetation is gradually occupying the abandoned arable lands. Desertification processes are ongoing in the Uvs Nuur Basin territory. There was a reduction in the area of meadows and an expansion of the territories of dry and desert steppes with the participation of shrubs of Caragana Bunge.


2020 ◽  
Vol 24 (1) ◽  
pp. 40-45
Author(s):  
I.V. Zen’kov ◽  
A.S. Morin ◽  
V.N. Vokin ◽  
E.V. Kiryushina ◽  
Zh.V. Mironova ◽  
...  

The results of remote monitoring of the rates of restoration of vegetation cover are presented. It is concluded that for a full restoration of the ecological balance on the lands disturbed by mining operations, a long period of time will be required.


2020 ◽  
Vol 8 (1) ◽  
pp. 102-115
Author(s):  
Paul Kodji ◽  
Tchobsala ◽  
Adamou Ibrahima

The study, which covered "study the dynamics of the Minawao vegetation cover and its surroundings (Far North, Cameroon), took place in five villages: Minawao, Gawar, Sabongari, Windé and Zamay. The main objective was to help manage the impacts of populations on the Minawao vegetation cover and its surroundings in order to improve the living conditions of refugees and local populations. In each village, floristic surveys were carried out in 5 plants formations (shrub savannah, forest gallery, tree savannah, field and dwellings). For satellite images, the 14-year interval (2006 to 2020) was retained. Analysis of the data identified 23 species, 21 gender and 14 families over the 120 hectares of study area. The annual rate of regression indicates that the village of Minawao and the river side villages are experiencing more degradation after the settlement of refugees than before, with their respective regression rates of -10.81 ha/year and -8.93 ha/year. The maximum carbon is stored by Acacia albida (11.77 tC/ha) and Tamarindus indica (8.11 t/ha). The total amount of carbon in this area is 32.32 tC/ha.


2011 ◽  
Vol 3 (3) ◽  
pp. 157
Author(s):  
Daniel Rodrigues Lira ◽  
Maria do Socorro Bezerra de Araújo ◽  
Everardo Valadares De Sá Barretto Sampaio ◽  
Hewerton Alves da Silva

O mapeamento e monitoramento da cobertura vegetal receberam consideráveis impulsos nas últimas décadas, com o advento do sensoriamento remoto, processamento digital de imagens e políticas de combate ao desmatamento, além dos avanços nas pesquisas e gerações de novos sensores orbitais e sua distribuição de forma mais acessível aos usuários, tornam as imagens de satélite um dos produtos do sensoriamento remoto mais utilizado para análises da cobertura vegetal das terras. Os índices de cobertura vegetal deste trabalho foram obtidos usando o NDVI - Normalized Difference Vegetation Index para o Agreste central de Pernambuco indicou 39,7% de vegetação densa, 13,6% de vegetação esparsa, 14,3% de vegetação rala e 10,5% de solo exposto. O NDVI apresentou uma caracterização satisfatória para a classificação do estado da vegetação do ano de 2007 para o Agreste Central pernambucano, porém ocorreu uma confusão com os índices de nuvens, sombras e solos exposto, necessitando de uma adaptação na técnica para um melhor aprimoramento da diferenciação desses elementos, constituindo numa recombinação de bandas após a elaboração e calculo do NDVI.Palavras-chave: Geoprocessamento; sensoriamento remoto; índice de vegetação. Mapping and Quantification of Vegetation Cover from Central Agreste Region of Pernambuco State Using NDVI Technique ABSTRACTIn recent decades, advanced techniques for mapping and monitoring vegetation cover have been developed with the advent of remote sensing. New tools for digital processing, the generation of new sensors and their orbital distribution more accessible have facilitated the acquisition and use of satellite images, making them one of the products of remote sensing more used for analysis of the vegetation cover. The aim of this study was to assess the vegetation cover from Central Agreste region of Pernambuco State, using satellite images TM / LANDSAT-5. The images were processed using the NDVI (Normalized Difference Vegetation Index) technique, generating indexes used for classification of vegetation in dense, sparse and scattered. There was a proportion of 39.7% of dense vegetation, 13.6% of sparse vegetation, 14.3% of scattered vegetation and 10.5% of exposed soil. NDVI technique has been used as a useful tool in the classification of vegetation on a regional scale, however, needs improvement to a more precise differentiation among levels of clouds, shadow, exposed soils and vegetation. Keywords: Geoprocessing, remote sensing, vegetation index


2020 ◽  
Author(s):  
Alemayehu Assefa Ayele ◽  
Assefa Abegaz Yimer ◽  
Simphiwe E. Mini

Abstract Background: Land cover dynamics take place as a result of the integration of both physical and man-made factors. This situation is common in Ethiopia and in the study watershed as well. The study was intended to assess the land cover dynamics through 1986 – 2015 and to identify its relation with slope and landscape restoration that incorporates area closure. The analysis was made based on the interpretation of satellite images. Methods: Both ERDAS IMAGINE 9.1 and ARC GIS 10.3 software were employed in order to generate land cover maps of the study area from satellite images. Also, slope map of the study area was processed from DEM of Ethiopia. Results: The study found out that forestlands and shrublands shrunk through 1986 – 2015, grasslands expanded mainly due to the implementation of landscape restoration including area closure since 2001. Cropland expanded remarkably. Similarly, the coverage of bareland and settlement also increased. Conclusions: Based on the results of the study, it is concluded that similar restoration activities shall be implemented in similar environments in Ethiopia to keep the natural resources, and the vegetation cover of Hita-Borkena watershed shall be improved.


2021 ◽  
Author(s):  
Jacob Nieto ◽  
Gabriela Vidal García ◽  
Mariana Patricia Jácome Paz ◽  
Tania Ximena Ruiz Santos ◽  
Juan Manuel Nuñez ◽  
...  

<p>Currently, natural areas are being devastated by anthropogenic activity. Activities such as agriculture, illegal logging, non-organic farms, and livestock exploitation, disrupt an ecosystem that has been in balance for many years. Therefore, regulations implemented by governments are required for their preservation. However, these regulations are not always the most used in terms of conservation. Such is the case of the town "Tenosique", in this area is one of the most important rivers in Mesoamerica, the Usumacinta River, which is a great regulator of ecological processes and is connected to Mexico with Guatemala. This site has been under the influence of regulations applied to the economic impulse of the area, whether for agricultural and livestock activities, which has affected the apparent vegetation cover, unlike Guatemala that has opted for regulations with a forest conservation approach. These policies sought to boost the agricultural sector, but many deforested areas to carry out this activity turned out not to be suitable due to the type of soil. With the change of regime, financing ends and with it economic activity decreases, leaving the area quite affected and the communities with financial problems. Recently, conservation and protection actions were implemented in the area together with support for these communities. The proximity between Mexico and Guatemala visually shows the results of the application of different public policies. The objective of this study is to quantify the loss and gain of vegetation over time from satellite images of the area, in order to compare this statistic with the different government programs of each era. For this, at least 10 multispectral satellite images of free access will be used, from the Landsat 7 satellite, which has 30 meters of resolution but visually adjustable to 15 meters with the union of its panchromatic channel, and that cover a time range from 1999 to 2020. On these, two processes will be carried out: 1) a normalized vegetation index calculation and 2) a supervised classification. With which it is intended to measure the area and the greenness of a mask of the vegetation cover. The results will serve to update the projects carried out on the site and detect areas of priority interest resolution for larger projects, as well as the future estimation of the critical state of the site regarding the loss of vegetation cover and quantify the conservation efforts that have been carried out. carried out from 2008 to the present.</p>


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