SATELLITE REMOTE SENSING IN SURVEYING PRESENT OPPORTUNITIES, FUTURE POSSIBILITIES

1986 ◽  
Vol 40 (3) ◽  
pp. 315-326
Author(s):  
G. D. Lodwick ◽  
S. H. Paine
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Computer Processing ◽  
Digital Data ◽  
Topographic Mapping ◽  
Data Manipulation ◽  
Resource Mapping ◽  
The Earth ◽  
Indispensable Tool ◽  
Hydrographic Surveying

Of all the areas of the earth sciences affected by satellite remote sensing, the surveying profession has been one of the last to take advantage of its unique features. This is due in part to: resolution limitations of Landsat 1, 2 and 3, difficulties in registration and positioning of the imagery, technical constraints in handling vast quantities of digital data, and the excellent methods currently available for the production of cartographic products. Nevertheless, satellite remote sensing has now emerged as a complementary procedure to many existing techniques utilized in surveying and mapping. Already, Landsat is being used for topographic mapping, hydrographic surveying and resource mapping purposes. However, with the improved resolution of Landsat 4, the potential of stereoscopic coverage with the SPOT satellites and present developments in computer processing and data manipulation, satellite remote sensing in the next decade will emerge as an indispensable tool for mapping and cartography.

scholarly journals GENERAL STRUCTURE, TYPES AND FORMATS OF DIGITAL DATA OF REMOTE SENSING OF THE EARTH

2020 ◽  
Vol 70 (2) ◽  
pp. 295-300
Author(s):  
D. Shaimerdenov ◽  
◽  
A. Zakirova ◽  
Keyword(s):  
Remote Sensing ◽  
Data Storage ◽  
General Structure ◽  
Remote Sensing Data ◽  
Data Representation ◽  
Digital Data ◽  
Earth Remote Sensing ◽  
The Earth ◽  
Modern Development ◽  
Indispensable Tool

Earth remote sensing technologies (ERS) are an indispensable tool for the study and continuous monitoring of our planet, helping to effectively use and manage its resources. The modern development of remote sensing technologies expands the scope of their application, covering all aspects of our lives. This article describes the main stages of the development of remote sensing technologies, provides an overview of methods for observing elements of the environment, and considers the General structure, types and formats of digital data for remote sensing of the Earth. The main characteristics of aerospace survey data are defined, methods of storing coordinate reference data and data storage formats are considered. The main methods for representing geographical data are given, and the important qualities of each type of remote sensing data representation are described. The analysis of integration types to represent geographic data and identified the principal benefits of an integrated data view ERS.

Analysis of Remote Sensing based Vegetation Indices (VIs) for Unmanned Aerial System (UAS): A Review

2020 ◽  
Vol 3 (2) ◽  
pp. 58-73
Author(s):  
Vijay Bhagat ◽  
Ajaykumar Kada ◽  
Suresh Kumar
Keyword(s):  
Remote Sensing ◽  
Spatial Data ◽  
Satellite Remote Sensing ◽  
Vegetation Indices ◽  
Unmanned Aerial System ◽  
Sustainable Land Management ◽  
Efficient Tool ◽  
Site Specific ◽  
The Earth ◽  
Interesting Area

Unmanned Aerial System (UAS) is an efficient tool to bridge the gap between high expensive satellite remote sensing, manned aerial surveys, and labors time consuming conventional fieldwork techniques of data collection. UAS can provide spatial data at very fine (up to a few mm) and desirable temporal resolution. Several studies have used vegetation indices (VIs) calculated from UAS based on optical- and MSS-datasets to model the parameters of biophysical units of the Earth surface. They have used different techniques of estimations, predictions and classifications. However, these results vary according to used datasets and techniques and appear very site-specific. These existing approaches aren’t optimal and applicable for all cases and need to be tested according to sensor category and different geophysical environmental conditions for global applications. UAS remote sensing is a challenging and interesting area of research for sustainable land management.

Žemės stebėjimas iš kosmoso

2021 ◽  
Author(s):  
Justinas Kilpys ◽  
Laurynas Jukna ◽  
Edvinas Stonevičius ◽  
Rasa Šimanauskienė ◽  
Linas Bevainis
Keyword(s):  
Remote Sensing ◽  
Risk Management ◽  
Environmental Monitoring ◽  
Satellite Remote Sensing ◽  
Disaster Risk ◽  
Satellite Observations ◽  
Sensor Data ◽  
Earth Observations ◽  
The Earth ◽  
Insight Into

Title in English: Earth Observations from Space. There are more than 150 environmental satellites orbiting the Earth, and they are constantly monitoring its surface and the processes happening on it. This textbook offers an introduction to the physical concepts of satellite observations, describes how sensor data is transformed into information about the Earth’s surface and how it can be applied. The scientific background of satellite remote sensing is illustrated using examples from applications in agriculture, forestry, environmental monitoring, disaster risk management, and many other areas. Book provides insight into how satellite remote sensing is used to explore and monitor natural and anthropocentric processes on the Earth and serves as introduction to the practical remote sensing.

scholarly journals Use of a GCM to explore sampling issues in connection with satellite remote sensing of the Earth radiation budget

2000 ◽  
Vol 105 (D16) ◽  
pp. 20757-20772 ◽  
Author(s):  
Laura D. Fowler ◽  
Bruce A. Wielicki ◽  
David A. Randall ◽  
Mark D. Branson ◽  
Gary G. Gibson ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Radiation Budget ◽  
The Earth ◽  
Earth Radiation Budget ◽  
Earth Radiation

scholarly journals VECTOR DATA DIFFERENCES IDENTIFICATION IN THE THEMATIC PROCESSING OF SPACE IMAGES

2017 ◽  
pp. 47-52
Author(s):  
A. A. Zalatoi ◽  
A. V. Urbanovich
Keyword(s):  
Mathematical Modeling ◽  
Remote Sensing ◽  
Research And Development ◽  
Thematic Analysis ◽  
Topographic Mapping ◽  
Vector Data ◽  
Target Information ◽  
Space Images ◽  
The Earth ◽  
Thematic Processing

The problem of differences identifying in vector graphics data packages and how to solve it is considered. Map information and vectorized data of remote sensing of Earth are sources of vector data in the article. The aim is to design a method for detecting differences in vector data packages, providing reliable results for updating map and monitoring areas tasks. Research and development is done by mathematical modeling of the task in MATLAB. The article provides developed method for solving the task and results of its application for finding differences between two vector data packages, obtained from the target information of remote sensing of the Earth, and/or vector layers of digital district map. This method allows you to automate the process and reduce the time of thematic analysis of cosmic information, obtained from remote sensing of the Earth for topographic mapping and monitoring areas.

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