Airborne remote sensing for groundwater studies in Prairie environment

1969 ◽  
Vol 6 (4) ◽  
pp. 737-741 ◽  
Author(s):  
M. E. Chase
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Surface Water ◽  
Ground Truth ◽  
Infrared Photography ◽  
Black And White ◽  
Remote Sensors ◽  
Infrared Scanning ◽  
Southern Alberta ◽  
Lake Deposits

A deficiency of groundwater in an area of prairieland in southern Alberta prompted a survey by airborne remote sensors. Panchromatic and black and white true infrared photography coverages were obtained and studied, but were found to be of limited value. An infrared scanning survey, using the 2.5–5.6 μ band was flown at the same time and found to be more informative. Conditions of ground truth were not ideal, making the results less conclusive than desired. Till covers most of the area, with lake deposits in the eastern section. Soil moisture changes were registered on the imagery, but the depths of overburden to which these changes were recorded on the surface are unknown, due to the condition variations between the time of the survey and the drilling. Vegetation, surface water, soil moisture, and saline sloughs were found to have the strongest thermal signatures. Problems encountered in the survey are discussed and recommendations to eliminate them are given.

Remote Sensing of Surface Water and Soil Moisture

2013 ◽  
pp. 119-142 ◽  
Author(s):  
Alain Pietroniro ◽  
Jessika Töyrö ◽  
Robert Leconte ◽  
Geoff Kite
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Surface Water

Advanced ground truth for remote sensing of soil moisture

1995 ◽  
Author(s):  
Alexander Brandelik ◽  
Christof Huebner
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Ground Truth

Remote Sensing Techniques in Civil Engineering Surveys

1986 ◽  
Vol 2 (1) ◽  
pp. 119-124
Author(s):  
E. M. Amos ◽  
D. Blakeway ◽  
C. D. Warren
Keyword(s):  
Remote Sensing ◽  
Satellite Imagery ◽  
Aerial Photography ◽  
Civil Engineering ◽  
Thermal Infrared ◽  
Infrared Photography ◽  
Black And White ◽  
Remote Sensing Techniques ◽  
Landsat Satellite ◽  
False Colour

AbstractThis paper outlines selected remote sensing techniques and their application to civil engineering surveys.In BS 5930, emphasis has been placed on the interpretation of black and white aerial photography to provide information. However, other techniques such as true colour and false colour infrared photography, thermal infrared, radar and landsat satellite imagery may be useful in appropriate applications.

EFFICACITE DES IMAGES RADAR ET INFRAROUGE THERMIQUE, ET DE LA PHOTO COULEUR INFRAROUGE POUR L’INVENTAIRE DES CULTURES

1980 ◽  
Vol 60 (4) ◽  
pp. 1077-1085
Author(s):  
ROGER PAQUIN ◽  
GILLES LADOUCEUR
Keyword(s):  
Remote Sensing ◽  
Ground Truth ◽  
Thermal Infrared ◽  
Infrared Imagery ◽  
Ground Truth Data ◽  
Infrared Photography ◽  
Remote Sensing Technique ◽  
Field Crops ◽  
Radar Imagery ◽  
Thermal Infrared Imagery

Crops from 888 fields in a 300-km2 area between Rougemont and St-Hyacinthe were surveyed to compare the efficiency of radar (3–80 cm) and thermal infrared (8–14 μm) imagery with color infrared photography for crop identification. The color infrared photography and the thermal infrared imagery were taken by the Canadian Centre for Remote Sensing on 11 Aug. 1978, and the radar imagery by Intera on 19 Aug. The analysis of the thermal infrared imagery showed some correlations with the ground truth data, but the image could not be used in crop identification. Accordingly, observations from radar imagery could not serve in crop identification. However, similarities were observed between the radar and the thermal infrared imageries. The results showed once more that the color infrared photography as a remote sensing technique is the most useful to survey field crops.

Current Use of Remote Sensing by Foresters in the South

1980 ◽  
Vol 4 (3) ◽  
pp. 143-147
Author(s):  
Roy A. Mead ◽  
D. Ann Rasberry
Keyword(s):  
Remote Sensing ◽  
Aerial Photographs ◽  
Practical Training ◽  
Full Time ◽  
Infrared Photography ◽  
Black And White ◽  
Southern States ◽  
Resource Managers ◽  
Time Basis ◽  
Remote Sensing Techniques

Abstract A survey was conducted to determine how and to what extent remote sensing is being used for forest management in the 13 southern states. Several general conclusions were reached. Timber type mapping and road location are the major uses of aerial photographs. Professional resource managers spend a small portion of their time interpreting aerial photographs and very few photo interpreters are employed on a full-time basis. Significant differences were apparent in the use of aerial photographs by different organizations. Black-and-white photographs are most frequently used. Color and color infrared photography were utilized by all organizations to a limited extent, but Landsat, radar, and thermal imagery were generally not used. Very little use is being made of small-format (35 mm and 70 mm) photography. More applied research and practical training are needed to fully implement remote-sensing techniques in the field of natural resources.

scholarly journals Detection of Groundwater in Iraq-Wasit Governorate Using Remote Sensing and GIS

2021 ◽  
Vol 2114 (1) ◽  
pp. 012091
Author(s):  
Ali Sadeq Bahet ◽  
Mutasim Ibrahim Malik
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Surface Water ◽  
Vegetation Cover ◽  
Ground Cover ◽  
Underground Water ◽  
Remote Sensing And Gis ◽  
Moisture Index ◽  
Water Index ◽  
Soil Moisture Index

Abstract The groundwater in Iraq has been studied for the need for it due to the shortage of surface water levels.The vegetation cover index, the soil moisture index, and the surface water index were used to detect the presence of groundwater in Wasit Governorate, Iraq. Those indicators that appear on the ground cover and indicate the presence of groundwater in the study area were compared with the coordinates of wells underground water. The results were identical with information obtained from the Ministry of Water Resources.

scholarly journals COASTAL ENGINEERING APPLICATIONS OF AERIAL REMOTE SENSING

1972 ◽  
Vol 1 (13) ◽  
pp. 112
Author(s):  
Donald B. Stafford
Keyword(s):  
Remote Sensing ◽  
State Of The Art ◽  
Coastal Engineering ◽  
Aerial Photographs ◽  
Black And White ◽  
Remote Sensors ◽  
Engineering Studies ◽  
Radar Imagery ◽  
Aerial Remote Sensing ◽  
Remote Sensing Techniques

aerial remote sensing techniques and provides a current state of the art summary of the utilization of aerial remote sensors in coastal engineering studies. The sensors' discussed include conventional black and white aerial photographs, black and white infrared aerial photographs, color and color infrared aerial photographs, multispectral aerial photographs, satellite photographs, infrared imagery, multispectral imagery, and radar imagery. The field of coastal engineering is considered in a broad context to include all important applications of aerial remote sensing that relate to coastal engineering problems. The use of remote sensors to monitor coastal changes, study coastal landforms, examine storm effects, map coastal areas, determine nearshore hydrography, and monitor the environmental effects of coastal engineering projects, a topic of considerable current concern, is described. The important characteristics of the various aerial remote sensors are described briefly. The advantages and limitations of the aerial remote sensing techniques for different coastal engineering studies are noted. The review and state of the art summary of the applications of the aerial remote sensors can be used by coastal engineers as guidelines in employing the sensors in future coastal engineering investigations.

scholarly journals GNSS-R Soil Moisture Retrieval Based on a XGboost Machine Learning Aided Method: Performance and Validation

2019 ◽  
Vol 11 (14) ◽  
pp. 1655 ◽  
Author(s):  
Yan Jia ◽  
Shuanggen Jin ◽  
Patrizia Savi ◽  
Yun Gao ◽  
Jing Tang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Soil Moisture ◽  
Ground Truth ◽  
Satellite System ◽  
Soil Conditions ◽  
Retrieval Process ◽  
Method Performance ◽  
Ensemble Machine Learning ◽  
Input Variables

Global navigation satellite system (GNSS)-reflectometry is a type of remote sensing technology and can be applied to soil moisture retrieval. Until now, various GNSS-R soil moisture retrieval methods have been reported. However, there still exist some problems due to the complexity of modeling and retrieval process, as well as the extreme uncertainty of the experimental environment and equipment. To investigate the behavior of bistatic GNSS-R soil moisture retrieval process, two ground-truth measurements with different soil conditions were carried out and the performance of the input variables was analyzed from the mathematical statistical aspect. Moreover, the feature of XGBoost method was utilized as well. As a recently developed ensemble machine learning method, the XGBoost method just emerged for the classification of remote sensing and geographic data, to investigate the characterization of the input variables in the GNSS-R soil moisture retrieval. It showed a good correlation with the statistical analysis of ground-truth measurements. The variable contributions for the input data can also be seen and evaluated. The study of the paper provides some experimental insights into the behavior of the GNSS-R soil moisture retrieval. It is worthwhile before establishing models and can also help with understanding the underlying GNSS-R phenomena and interpreting data.

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