Application of remote sensing methods for assessment of anthropogenic transformation of rangelands

2000 ◽  
pp. 16-25
Author(s):  
E. I. Rachkovskaya ◽  
S. S. Temirbekov ◽  
R. E. Sadvokasov
Keyword(s):  
Remote Sensing ◽  
New Technology ◽  
Field Studies ◽  
Digital Data ◽  
Aerial Images ◽  
Expert Assessment ◽  
Automated Classification ◽  
Anthropogenic Transformation ◽  
Initial Processing ◽  
Remote Sensing Methods

Capabilities of the remote sensing methods for making maps of actual and potential vegetation, and assessment of the extent of anthropogenic transformation of rangelands are presented in the paper. Study area is a large intermountain depression, which is under intensive agricultural use. Color photographs have been made by Aircraft camera Wild Heerburg RC-30 and multispectral scanner Daedalus (AMS) digital aerial data (6 bands, 3.5m resolution) have been used for analysis of distribution and assessment of the state of vegetation. Digital data were processed using specialized program ENVI 3.0. Main stages of the development of cartographic models have been described: initial processing of the aerial images and their visualization, preliminary pre-field interpretation (classification) of the images on the basis of unsupervised automated classification, field studies (geobotanical records and GPS measurements at the sites chosen at previous stage). Post-field stage had the following sub-stages: final geometric correction of the digital images, elaboration of the classification system for the main mapping subdivisions, final supervised automated classification on the basis of expert assessment. By systematizing clusters of the obtained classified image the cartographic models of the study area have been made. Application of the new technology of remote sensing allowed making qualitative and quantitative assessment of modern state of rangelands.

scholarly journals Using volunteered geographical information to map the November 2012 floods in Slovenia

2013 ◽  
Vol 13 (11) ◽  
pp. 2753-2762 ◽  
Author(s):  
M. Triglav-Čekada ◽  
D. Radovan
Keyword(s):  
Remote Sensing ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Web Search ◽  
Aerial Images ◽  
Geographical Information ◽  
Flood Mapping ◽  
Remote Sensing Methods ◽  
Flooded Areas ◽  
Complete Account

Abstract. Volunteered geographical information represents a promising field in the monitoring and mapping of natural disasters. The contributors of volunteered geographical information have the advantage that they are at the location of the natural disaster at exactly the time when the disaster happened. Therefore, they can provide the most complete account of the extent of the damage. This is not always possible when applying photogrammetric or remote-sensing methods, as prior to the data acquisition an order to carry out the measurements has to be made. On 5 and 6 November 2012 almost half of Slovenia was badly affected by floods. The gathering of volunteered geographical information in the form of images and videos of these floods is presented. Two strategies were used: (1) a public call for volunteered contributions and (2) a web search for useful images and their authors. The authorship of these images was verified with every contributor. In total, 15 contributors provided 102 terrestrial and aerial images and one aerial video, with 45% classified as potentially useful. For actual flood mapping 22 images and 12 sequences from video were used. With the help of the volunteered images 12% of the most severely affected river sections were mapped. Altogether, 1195.3 ha of flooded areas outside of the usual river beds along a total river length of 48 km were mapped. The results are compared with those from satellite mapping of the same floods, which successfully covered 18% of the most affected river sections.

scholarly journals Remote Sensing Methods in the Identification of Oil Contaminations / Možnosti Využití Vybraných Metod Dpz Pro Identifikaci Ropných Kontaminací (Starých Ekologických Zátěží)

2012 ◽  
Vol 58 (1) ◽  
pp. 24-33 ◽  
Author(s):  
Eva Smejkalová ◽  
Petr Bujok
Keyword(s):  
Remote Sensing ◽  
Data Analysis ◽  
In Situ Measurements ◽  
Oil Wells ◽  
Digital Data ◽  
Ecological Hazards ◽  
Remote Sensing Methods

Abstract The article deals with the possibilities of using remote sensing methods for analysis, observation and identification of old ecological hazards caused by petroleum contaminations from insufficiently plugged and abandoned oil wells in the area of Hodonín. It is focused on the description and determination of areas of interests, remote sensing approaches to the problems of petroleum substance detection and establishing the methodology of an acquired data analysis. Moreover, proper methods, algorithms and satellite digital data parameters for this aim are discussed. The article also describes in-situ measurements, technical instruments and further research advancements. Finally, the proposals of the results evaluation, interpretation and complex comparisons with the results of past and future researches in the area of Nesyt - Hodonín are specified.

scholarly journals Digitalization of State Inventory of Forests as a Tool of Updating the Reforestation Fund

2021 ◽  
Vol 31 (2) ◽  
pp. 262-270
Author(s):  
Lena Baldanova ◽  
Yulia Zorina
Keyword(s):  
Remote Sensing ◽  
Forest Inventory ◽  
Low Cost ◽  
The State ◽  
Automated Classification ◽  
Management Decisions ◽  
Space Images ◽  
Earth Remote Sensing ◽  
Forest Regions ◽  
Remote Sensing Methods

Monitoring data are the basis for making management decisions, including those in the field of forest conservation and restoration. In this context, it is relevant to conduct research aimed at improving forest inventory operations with the use of Earth remote sensing methods, to solve the problems of reforestation and state forest inventory. The purpose of the study is to show the need for digitalization of the state forest inventory using Earth remote sensing methods. The results of the practical use of such methods for updating data on the reforestation fund are presented by the case of five forest districts of the Irkutsk region. When collecting, processing and presenting the research results, methods of aerospace monitoring and interpretation of space images of the Earth were used. Materials processing modules in remote sensing systems and geographic information systems were also used, which make it possible to assess the quality of automated classification. As a result of the study, the necessity of using Earth remote sensing methods in order to increase the efficiency of management decisions in the field of reforestation was substantiated. It was also proved that for forest regions with significant forest areas, digitalization of the state forest inventory is the most effective and low-cost method of obtaining relevant, complete and reliable data on the state of forest lands.

scholarly journals Assessment of reserves and resources of technogenic complexes of gold-bearing deposits using remote sensing methods on the example of the Kerbinsky gold-bearing region (Khabarovsk Region)

2020 ◽  
Vol 192 ◽  
pp. 04016
Author(s):  
Victor Litvintsev ◽  
Vitaly Usikov ◽  
Yulia Ozaryan ◽  
Vladimir Alekseev
Keyword(s):  
Remote Sensing ◽  
Mineral Resource ◽  
Precious Metals ◽  
Expert Assessment ◽  
Resource Base ◽  
Alluvial Deposits ◽  
Geological Information ◽  
Placer Deposits ◽  
Remote Sensing Methods ◽  
Gold Bearing

Technogenic complexes of placer deposits, the development of which has been completed, are a significant reserve of the mineral resource base of gold and other precious metals. This paper presents the results of the creation of a method for expert assessment of spatial and volumetric indicators of technogenic complexes of alluvial deposits and other landscape objects using remote sensing of the territory and analysis of geological information. The Kerbinsky gold-bearing region of the Khabarovsk Region was chosen as the object of research.

scholarly journals Measuring Tree Height with Remote Sensing—A Comparison of Photogrammetric and LiDAR Data with Different Field Measurements

Forests ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 694 ◽  
Author(s):  
Selina Ganz ◽  
Yannek Käber ◽  
Petra Adler
Keyword(s):  
Remote Sensing ◽  
Tree Height ◽  
Field Measurements ◽  
Test Site ◽  
Aerial Images ◽  
Lidar Data ◽  
Individual Tree ◽  
Indirect Measurements ◽  
Remote Sensing Techniques ◽  
Remote Sensing Methods

We contribute to a better understanding of different remote sensing techniques for tree height estimation by comparing several techniques to both direct and indirect field measurements. From these comparisons, factors influencing the accuracy of reliable tree height measurements were identified. Different remote sensing methods were applied on the same test site, varying the factors sensor type, platform, and flight parameters. We implemented light detection and ranging (LiDAR) and photogrammetric aerial images received from unmanned aerial vehicles (UAV), gyrocopter, and aircraft. Field measurements were carried out indirectly using a Vertex clinometer and directly after felling using a tape measure on tree trunks. Indirect measurements resulted in an RMSE of 1.02 m and tend to underestimate tree height with a systematic error of −0.66 m. For the derivation of tree height, the results varied from an RMSE of 0.36 m for UAV-LiDAR data to 2.89 m for photogrammetric data acquired by an aircraft. Measurements derived from LiDAR data resulted in higher tree heights, while measurements from photogrammetric data tended to be lower than field measurements. When absolute orientation was appropriate, measurements from UAV-Camera were as reliable as those from UAV-LiDAR. With low flight altitudes, small camera lens angles, and an accurate orientation, higher accuracies for the estimation of individual tree heights could be achieved. The study showed that remote sensing measurements of tree height can be more accurate than traditional triangulation techniques if the aforementioned conditions are fulfilled.

scholarly journals Application of remote sensing methods and GIS technologies for the classification of lands in the Pushkin district of St. Petersburg

2021 ◽  
pp. 84-102
Author(s):  
Т.К. Фан ◽  
Ч.Т. Нгуен ◽  
А.С. Алексеев ◽  
А.В. Любимов ◽  
В.Л. Сергеева ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Forest Inventory ◽  
Likelihood Method ◽  
Landsat 8 ◽  
Automated Classification ◽  
Gis Technologies ◽  
Remote Sensing Methods ◽  
Selection Of

ГИС-технологии и методы автоматизированной классификации материалов ДЗЗ активно используются во многих странах при проведении работ по инвентаризации лесов, проектированию использования лесов и изучению их состояния и характеристик. Задачи исследования состояли в разработке методики и проведении автоматизированной классификации категорий земель крупной административно-территориальной единицы на основе дистанционных методов и ГИС-технологий. Объектом исследования служила территория Пушкинского района Санкт-Петербурга. На территории Пушкинского района расположено значительное количество зелёных насаждений (парки, скверы, сады, лесополосы), часть из которых включена в список памятников, охраняемых ЮНЕСКО. Также на территории района расположены промышленные предприятия, крупные производственные зоны, развито сельское хозяйство. В качестве исходных материалов дистанционного зондирования использовались спутниковые изображения Landsat-8. Использовался также набор карт на изучаемую территорию. Программными средствами для сбора, представления и обработки данных служили ГИС Arcgis и Mapinfo, и программы ENVI и Trimble eCognition. Наземные работы по отбору эталонных (тренировочных) участков включали выбор участка на местности, фотографирование, определение координат. Классификация снимка Landsat осуществлялась по результатам двух основных операций – автоматизированного дешифрирования методом максимального правдоподобия и определения вегетационных индексов классов представленных категорий земель. После наземной верификации результатов классификации и выполнения операций обработки и агрегирования была сформирована итоговая тематическая карта классов категорий земель Пушкинского района и получены итоговые таблицы распределения площадей по муниципальным образованиям. Представленная методика, связанная с обработкой и интерпретацией материалов дистанционного зондирования средствами ГИС-технологий, может рассматриваться в качестве современного инструмента ландшафтного анализа, государственной (национальной) инвентаризации лесов, различных видов мониторинга. GIS technologies and methods of automated classification of remote sensing data are actively used in many countries in forest inventory, forest management planning and assessment of the state and characteristics of forests. The objectives of the study were to develop a methodology and conduct an automated classification of land categories for a large administrative-territorial unit based of remote sensing methods and GIS-technologies. The object of the study was the territory of the Pushkin district of St. Petersburg. On the territory of the Pushkin district are located a significant number of green zones (parks, squares, gardens, forest belts), some of which are included in the list of monuments protected by UNESCO. Also on the territory of the district are located industrial enterprises, large industrial zones, agriculture is developed. Lansat-8 satellite images and a set of maps for the study area were used as initial materials. GIS ArcGIS and MapInfo, programs ENVI and Trimble eCognition were used to collect, visualize and process data. Field work on the selection of reference (training) samples included the selection of sample plots in nature, photography, and determination of coordinates. The Landsat images were classified according to the results of two main operations – automated interpretation by the maximum likelihood method and determination of the vegetation indices of the land categories classes. After performing field verification, as well as performing processing and aggregation operations, the final thematic map of the classes of land categories in the Pushkin region was formed and the final tables of the distribution of areas by municipalities were obtained. The presented methodology, associated with the processing and interpretation of remote sensing materials by means of GIS technologies, can be considered as a modern tool for landscape analysis, state (national) forest inventory, and various types of territory monitoring.

Rediscovering the Discovery Outcrop: The Promises and Pitfalls of LiDAR Technology in Mineral Exploration

SEG Discovery ◽  
2013 ◽  
pp. 1-18
Author(s):  
Paul W. Jewell ◽  
J. Anna Farnsworth ◽  
Theresa Zajac
Keyword(s):  
Remote Sensing ◽  
Mineral Exploration ◽  
New Technology ◽  
Light Detection And Ranging ◽  
Quality Data ◽  
High Quality Data ◽  
Rock Types ◽  
Airborne Geophysics ◽  
Remote Sensing Techniques ◽  
Remote Sensing Methods

ABSTRACT An increasing number of mineral discoveries rely on remote sensing methods such as airborne geophysics and hyperspectral imaging. The relatively new technology of Light Detection and Ranging (LiDAR), whereby surface outcrop patterns suggestive of economic mineralization can be identified, has the potential to join other remote sensing techniques employed by the exploration geologist. Successful application of LiDAR relies on rigorous, high-quality data collected under strict QA/QC standards and is most useful for delineating linear features such as faults or resistant rock types such as silicification. If used judiciously, LiDAR can join the toolbox of the modern exploration geologist working in heavily vegetated areas that contain many of the most prospective terrains left on Earth.

Application of Remote Sensing in Agriculture

2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Jan Piekarczyk
Keyword(s):  
Remote Sensing ◽  
Precision Agriculture ◽  
Crop Production ◽  
Satellite Images ◽  
Crop Yields ◽  
Spatial Scales ◽  
Strong Relationship ◽  
Physical Parameters ◽  
Agricultural Crop ◽  
Remote Sensing Methods

AbstractWith increasing intensity of agricultural crop production increases the need to obtain information about environmental conditions in which this production takes place. Remote sensing methods, including satellite images, airborne photographs and ground-based spectral measurements can greatly simplify the monitoring of crop development and decision-making to optimize inputs on agricultural production and reduce its harmful effects on the environment. One of the earliest uses of remote sensing in agriculture is crop identification and their acreage estimation. Satellite data acquired for this purpose are necessary to ensure food security and the proper functioning of agricultural markets at national and global scales. Due to strong relationship between plant bio-physical parameters and the amount of electromagnetic radiation reflected (in certain ranges of the spectrum) from plants and then registered by sensors it is possible to predict crop yields. Other applications of remote sensing are intensively developed in the framework of so-called precision agriculture, in small spatial scales including individual fields. Data from ground-based measurements as well as from airborne or satellite images are used to develop yield and soil maps which can be used to determine the doses of irrigation and fertilization and to take decisions on the use of pesticides.

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