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 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

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.

Flow-Field Survey Data

2018 ◽  
pp. 363-373
Author(s):  
Allen E. Winkelmann
Keyword(s):  
Flow Field ◽  
Survey Data ◽  
Field Survey

scholarly journals Critical Land Detection using Remote Sensing Device and Geographic Information (Case Study of Critical Land Basic of Catchments Area, Alang, Wonogiri)

2017 ◽  
Vol 19 (1) ◽  
pp. 1
Author(s):  
Beny Harjadi
Keyword(s):  
Remote Sensing ◽  
Field Survey ◽  
Critical Level ◽  
Satellite Image ◽  
Geographic Information ◽  
Level Data ◽  
The Difference

Work criteria and indicator of Catchments Area need to be determined because the success and the failure of cultivating Catchments Area can be monitored and evaluated through the determined criteria. Criteria Indicators in utilizing land, one of them is determined based on the erosion index and the ability of utilizing land, for analyzing the land critical level. However, the determination of identification and classification of land critical level has not been determined; as a result the measurement of how wide the real critical land is always changed all the year. In this study, it will be tried a formula to determine the land critical/eve/ with various criteria such as: Class KPL (Ability of Utilizing Land) and the difference of the erosion tolerance value with the great of the erosion compared with land critical level analysis using remote sensing devices. The aim of studying land critical level detection using remote sensing tool and Geographic Information System (SIG) are:1. The backwards and the advantages of critical and analysis method2. Remote Sensing Method for critical and classification3. Critical/and surveyed method in the field (SIG) Collecting and analyzing data can be found from the field survey and interpretation of satellite image visually and using computer. The collected data are analyzed as:a. Comparing the efficiency level and affectivity of collecting biophysical data through field survey, sky photo interpretation, and satellite image analysis.b. Comparing the efficiency level and affectivity of land critical level data that are found from the result of KPL with the result of the measurement of the erosion difference and erosion tolerance.

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