Application of LANDSAT Imagery and Related Remote Sensing Techniques to Mineral Resources Exploration in Australasia: ABSTRACT

AAPG Bulletin ◽  
1978 ◽  
Vol 62 ◽  
Author(s):  
J. F. Huntington, A. A. Green
Keyword(s):  
Remote Sensing ◽  
Landsat Imagery ◽  
Mineral Resources ◽  
Remote Sensing Techniques

scholarly journals Remote sensing techniques for determining landcover features: applications for a species at risk

Rangifer ◽  
2017 ◽  
Vol 37 (1) ◽  
pp. 59-68
Author(s):  
Catherine Fauvelle ◽  
Rianne Diepstraten
Keyword(s):  
Remote Sensing ◽  
Conservation Biology ◽  
Supervised Classification ◽  
Landsat Imagery ◽  
Species At Risk ◽  
Telemetry Data ◽  
Future Studies ◽  
Remote Sensing Techniques ◽  
Bodies Of Water

Remote sensing techniques are becoming more advanced and commonplace in conservation biology, and are used to study spatial patterns of various taxa. The main objective of this study was to determine whether supervised classification of landcover types within Landsat imagery could be accurately used to find or locate islands on lakes that may have been overlooked during ground transects in central Saskatchewan. Additionally, we used telemetry data from collared female caribou to determine which islands were used and in which season(s), and to determine island char­acteristics that make caribou more likely to select them. We were able to successfully identify all islands within bodies of water relevant to collared caribou using a supervised classification method, which suggests that our methods were adequate. We also determined that none of the island characteristics significantly influenced caribou selection accord­ing to an occupancy model, however females tended to choose islands with a higher vegetation cover (NDVI) during the summer months and a proportionally lower snow cover during the winter months, likely as forage and predator avoidance strategies respectively. Finally, we suggest directions for future studies as well as implications for both wildlife managers and land-use planners in Saskatchewan, Canada.

scholarly journals Application of Remote Sensing in Earth Sciences – A Review

2021 ◽  
Vol 10 (05) ◽  
pp. 045-051
Author(s):  
Adel Shirazy Shirazy ◽  
Aref Shirazy ◽  
Hamed Nazerian
Keyword(s):  
Earth Sciences ◽  
Remote Sensing ◽  
Mineral Exploration ◽  
Mineral Resources ◽  
Geological Mapping ◽  
Alteration Zones ◽  
Review Study ◽  
Remote Sensing Techniques

The application of remote sensing sciences in the field of geology is very diverse and wide. One of its most important applications in earth sciences is geological mapping. Mineral exploration using remote sensing techniques is done in different ways, one of them is the mapping alteration zones related to mineral resources. Given the importance of remote sensing and geosciences in today's industry and given that deposit-related alteration areas are one of the most important exploratory keys. in this review study the mapping methods and alteration zones detection using remote sensing techniques and other applications of remote sensing in earth sciences and its generalities are explained.

scholarly journals Analysis of Shoreline Shift using Satellite Imagery near Makassar City

2020 ◽  
Vol 5 (3) ◽  
pp. 133-138
Author(s):  
Rian Amukti ◽  
Arif Seno Adji ◽  
Syamsuri Ruslan
Keyword(s):  
Remote Sensing ◽  
Central Government ◽  
Landsat Imagery ◽  
Coastal Region ◽  
Anthropogenic Factors ◽  
Temporal Data ◽  
City Region ◽  
Sensing Technology ◽  
Multi Temporal ◽  
Remote Sensing Techniques

Shoreline shift have occurred in the Coastal region of Makassar City in recent years due to abrasion and accretion. Spatial temporal feature extraction of the Makassar City Region has been carried out using remote sensing techniques  withRadiometri,  Geometric Corrections and Composite Imagein the Landsat image dataset in 2009 and 2019. This study aims to analyze shoreline shift near Makassar City with remote sensing technology using Landsat imagery data, based on multi-temporal data with visual and digital analysis techniques between 2009 and 2019. This research contributes to local and central government as baseline data (data base) in making decisions for handling coastal areas. The results showed that the length of the Makassar City coastline without including the coastline length of the islands separated from land in a row that is equal to 37.79 km in 2009. While in 2019 there was a significant change that is 49.82 km. This shows the addition of a coastline of 12.03 km in the span of 10 years. These changes are mainly caused by anthropogenic factors, namely the construction of the pier / port and the reclamation and hydro-oceanographic factors, namely waves, currents and tides.

scholarly journals A Novel Urban Composition Index Based on Water-Impervious Surface-Pervious Surface (W-I-P) Model for Urban Compositions Mapping Using Landsat Imagery

2020 ◽  
Vol 13 (1) ◽  
pp. 3
Author(s):  
Lihao Zhang ◽  
Yugang Tian ◽  
Qingwei Liu
Keyword(s):  
Remote Sensing ◽  
Surface Area ◽  
Accuracy Assessment ◽  
Landsat Imagery ◽  
Impervious Surface ◽  
Google Earth ◽  
Convincing Evidence ◽  
Landsat 8 ◽  
Remote Sensing Techniques ◽  
Semi Empirical

Monitoring urban compositions spatially and temporally is a crucial issue for urban planning and management. Nowadays, remote sensing techniques have been widely applied for urban compositions extraction. Compared with other remote sensing techniques, spectral indices have significant advantages due to their parameter-free and easy implementation. However, existing indices cannot extract different urban compositions well, and some of them can only extract one composition with less attention to other urban compositions. In this study, based on the water- impervious surface-pervious surface (W-I-P) model, a novel urban composition index (UCI) was developed by analyzing the robust features from the global spectral samples. Additionally, a semi-empirical threshold of UCI was proposed to extract different urban compositions (water, impervious surface area and pervious surface area). Four cities of China were selected as study areas, Landsat-8 images and Google Earth images were used for quantitative analysis. Correlation analysis, separability analysis, and accuracy assessment were conducted among UCI and five other existed indices (single and multiple composition indices) at the urban and global scales. Results indicated that UCI had a stronger correlation with the ISA proportion and a higher separability between each urban composition. UCI also achieved the highest overall accuracy and Kappa coefficient in urban compositions extraction. The suggested semi-empirical threshold was also testified to be reliable and can be a reference for practical application. There is convincing evidence that UCI is a simple, efficient, and reliable index for urban compositions extraction.

Sign in / Sign up

Export Citation Format

Share Document