scholarly journals Land Conversion Dynamics in the Borana Rangelands of Southern Ethiopia: An Integrated Assessment Using Remote Sensing Techniques and Field Survey Data

Environments ◽  
2015 ◽  
Vol 2 (4) ◽  
pp. 1-31 ◽  
Author(s):  
Michael Elias ◽  
Oliver Hensel ◽  
Uwe Richter ◽  
Christian Hülsebusch ◽  
Brigitte Kaufmann ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Survey Data ◽  
Integrated Assessment ◽  
Field Survey ◽  
Southern Ethiopia ◽  
Land Conversion ◽  
Remote Sensing Techniques

Village level crop inventory using remote sensing and field survey data

2005 ◽  
Vol 33 (1) ◽  
pp. 93-98 ◽  
Author(s):  
R. P. Singh ◽  
V. N. Sridhar ◽  
V. K. Dadhwal ◽  
R. Jaishankar ◽  
M. Neelkanthan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Survey Data ◽  
Field Survey ◽  
Village Level

scholarly journals Study on spatial distribution of coral reefs in Nam Yet island by using GIS and remote sensing techniques

2019 ◽  
Vol 19 (3B) ◽  
pp. 177-187
Author(s):  
Nguyen Xuan Tung ◽  
Do Huy Cuong ◽  
Bui Thi Bao Anh ◽  
Nguyen Thi Nhan ◽  
Nguyen The Luan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Field Survey ◽  
Satellite Image ◽  
Image Interpretation ◽  
Kappa Coefficient ◽  
Distribution Map ◽  
Dead Coral ◽  
Gis And Remote Sensing ◽  
Interpretation Process ◽  
Remote Sensing Techniques

Research and application of GIS and remote sensing techniques combined with field survey in coastal areas of Nam Yet island had been carried out to establish the distribution map of submarine habitats. Depth-invariant index was used to correct water column’s effects on spectral reflectance of each habitat. The results of satellite image classification showed that area with well-developed coral at great depths accounted for 12%, area with well-developed coral at small depths accounted for 9%, area with poorly-developed coral accounted for 13%, dead coral area accounted for 15% and area of sand, grit, pebbles and weathered coral accounted for 51%. The assessment after classification showed that the overall accuracy of the satellite image interpretation process was 94% and the kappa coefficient was 0.93.

Integrated Assessment of Shoreline Change along the Calypsostranda (Svalbard) from Remote Sensing, Field Survey and GIS

2020 ◽  
Vol 43 (5) ◽  
pp. 433-471 ◽  
Author(s):  
Piotr Zagórski ◽  
Kamila Jarosz ◽  
Józef Superson
Keyword(s):  
Remote Sensing ◽  
Integrated Assessment ◽  
Field Survey ◽  
Shoreline Change

scholarly journals Taphonomies of landscape: investigating the immediate environs of Çatalhöyük from prehistory to the present

2018 ◽  
Vol 68 ◽  
pp. 177-207
Author(s):  
Mark P.C. Jackson ◽  
Sophie V. Moore
Keyword(s):  
Remote Sensing ◽  
Survey Data ◽  
Present Status ◽  
Field Survey ◽  
World Heritage ◽  
World Heritage Site ◽  
Unesco World Heritage ◽  
Process Of Change ◽  
Heritage Site ◽  
Unesco World Heritage Site

AbstractThe landscape immediately surrounding the site of Çatalhöyük preserves topographic and ceramic evidence dating from prehistoric times to the present day. This article presents the results of a programme of investigation of the landscape conducted through analysis of remote-sensing, map and field-survey data, with particular emphasis on the first and second millennia AD. The concept of taphonomy, usually defined in archaeology as the process of change after deposition, is applied to the transformation of the settled landscape from its Neolithic origins to its present status as a UNESCO World Heritage Site. Taphonomy serves as a linking concept as we explore how past landscapes are mobilised and translated into the ever-changing present.

scholarly journals Satellite-Derived Bathymetry for Improving Canadian Hydrographic Service Charts

2018 ◽  
Vol 7 (8) ◽  
pp. 306 ◽  
Author(s):  
René Chénier ◽  
Marc-André Faucher ◽  
Ryan Ahola
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Survey Data ◽  
Canadian Arctic ◽  
Synthetic Aperture ◽  
Advanced Technologies ◽  
Space Agency ◽  
Challenges And Opportunities ◽  
Optical Imagery ◽  
Remote Sensing Techniques

Approximately 1000 Canadian Hydrographic Service (CHS) charts cover Canada’s oceans and navigable waters. Many charts use information collected with techniques that predate the more advanced technologies available to Hydrographic Offices (HOs) today. Furthermore, gaps in survey data, particularly in the Canadian Arctic where only 6% of waters are surveyed to modern standards, are also problematic. Through a Canadian Space Agency (CSA) Government Related Initiatives Program (GRIP) project, CHS is exploring remote sensing techniques to assist with the improvement of Canadian navigational charts. Projects exploring optical/Synthetic Aperture Radar (SAR) shoreline extraction and change detection, as well as optical Satellite-Derived Bathymetry (SDB), are currently underway. This paper focuses on SDB extracted from high-resolution optical imagery, highlighting current results as well as the challenges and opportunities CHS will encounter when implementing SDB within its operational chart production process. SDB is of particular interest to CHS due to its ability to supplement depths derived from traditional hydrographic surveys. This is of great importance in shallow and/or remote Canadian waters where achieving wide-area depth coverage through traditional surveys is costly, time-consuming and a safety risk to survey operators. With an accuracy of around 1 m, SDB could be used by CHS to fill gaps in survey data and to provide valuable information in dynamic areas.

Comparison of field survey and remote sensing techniques for detection of bark beetle-infested trees

2022 ◽  
Vol 506 ◽  
pp. 119984
Author(s):  
Vojtěch Bárta ◽  
Jan Hanuš ◽  
Lumír Dobrovolný ◽  
Lucie Homolová
Keyword(s):  
Remote Sensing ◽  
Bark Beetle ◽  
Field Survey ◽  
Remote Sensing Techniques

Integrated non-invasive remote-sensing techniques and field survey for the geoarchaeological study of the Sud Lípez mining district, Bolivia

2012 ◽  
Vol 9 (4) ◽  
pp. S40-S52 ◽  
Author(s):  
Jean-Paul Deroin ◽  
Florian Téreygeol ◽  
Pablo Cruz ◽  
Ivan Guillot ◽  
Jean-Charles Méaudre
Keyword(s):  
Remote Sensing ◽  
Field Survey ◽  
Mining District ◽  
Non Invasive ◽  
Remote Sensing Techniques
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