scholarly journals Underwater photographic reconnaissance and habitat data collection in the Florida Keys—A procedure for ground truthing remotely sensed bathymetric data

2020 ◽  
Author(s):  
Zachery W. Fehr ◽  
Kimberly K. Yates
Keyword(s):  
Data Collection ◽  
Florida Keys ◽  
Remotely Sensed ◽  
Bathymetric Data ◽  
Ground Truthing

Improving the Efficiency of Image Interpretation Using Ground Truth Terrestrial Photographs

2019 ◽  
pp. 1098-1128
Author(s):  
Gennady Gienko ◽  
Michael Govorov
Keyword(s):  
Data Collection ◽  
Image Interpretation ◽  
Ground Truth ◽  
Remotely Sensed ◽  
Natural Sciences ◽  
Aerial Photographs ◽  
Field Observations ◽  
Web Based ◽  
Remotely Sensed Imagery ◽  
The Social

Researchers worldwide use remotely sensed imagery in their projects, in both the social and natural sciences. However, users often encounter difficulties working with satellite images and aerial photographs, as image interpretation requires specific experience and skills. The best way to acquire these skills is to go into the field, identify your location in an overhead image, observe the landscape, and find corresponding features in the overhead image. In many cases, personal observations could be substituted by using terrestrial photographs taken from the ground with conventional cameras. This chapter discusses the value of terrestrial photographs as a substitute for field observations, elaborates on issues of data collection, and presents results of experimental estimation of the effectiveness of the use of terrestrial ground truth photographs for interpretation of remotely sensed imagery. The chapter introduces the concept of GeoTruth – a web-based collaborative framework for collection, storing and distribution of ground truth terrestrial photographs and corresponding metadata.

scholarly journals Remote Sensing of Aboveground Biomass in Tropical Secondary Forests: A Review

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
J. M. Barbosa ◽  
E. N. Broadbent ◽  
M. D. Bitencourt
Keyword(s):  
Remote Sensing ◽  
Aboveground Biomass ◽  
Structural Changes ◽  
Forest Succession ◽  
Conservation Status ◽  
Remotely Sensed ◽  
Secondary Forests ◽  
Forest Regrowth ◽  
Ground Truthing ◽  
Remote Sensing Methods

Tropical landscapes are, in general, a mosaic of pasture, agriculture, and forest undergoing various stages of succession. Forest succession is comprised of continuous structural changes over time and results in increases in aboveground biomass (AGB). New remote sensing methods, including sensors, image processing, statistical methods, and uncertainty evaluations, are constantly being developed to estimate biophysical forest changes. We review 318 peer-reviewed studies related to the use of remotely sensed AGB estimations in tropical forest succession studies and summarize their geographic distribution, sensors and methods used, and their most frequent ecological inferences. Remotely sensed AGB is broadly used in forest management studies, conservation status evaluations, carbon source and sink investigations, and for studies of the relationships between environmental conditions and forest structure. Uncertainties in AGB estimations were found to be heterogeneous with biases related to sensor type, processing methodology, ground truthing availability, and forest characteristics. Remotely sensed AGB of successional forests is more reliable for the study of spatial patterns of forest succession and over large time scales than that of individual stands. Remote sensing of temporal patterns in biomass requires further study, in particular, as it is critical for understanding forest regrowth at scales useful for regional or global analyses.

Ground truthing groundwater-recharge estimates derived from remotely sensed evapotranspiration: a case in South Australia

2014 ◽  
Vol 23 (2) ◽  
pp. 335-350 ◽  
Author(s):  
Russell S. Crosbie ◽  
Phil Davies ◽  
Nikki Harrington ◽  
Sebastien Lamontagne
Keyword(s):  
Groundwater Recharge ◽  
South Australia ◽  
Remotely Sensed ◽  
Ground Truthing

New Developments in Multibeam Backscatter Data Collection and Processing

2001 ◽  
Vol 35 (4) ◽  
pp. 46-50 ◽  
Author(s):  
Doug Lockhart ◽  
Edward Saade ◽  
Jerry Wilson
Keyword(s):  
Data Collection ◽  
Sidescan Sonar ◽  
New Developments ◽  
Acoustic Data ◽  
Bathymetric Data ◽  
Data Products ◽  
Processing Techniques

Recognition of the superior data and coverage from multibeam echosounders (MBES) has been widespread and is increasing rapidly. In addition to the significant value of ensonification of a swath as compared to a profile of bathymetric data, the acoustic data have been frequently presented as "psuedo-sidescan-sonar". Field programs conducted during 2001 using Reson MBES systems and TritonElics software gave us the opportunity to develop enhanced acoustic imagery by manipulation of the backscatter information within each MBES beam. This work has resulted in improved MBES data products using new acquisition and processing techniques.

Feature correspondence and semi-automatic ground truthing for airborne data collection

2005 ◽  
Author(s):  
Spandan Tiwari ◽  
Sanjeev Agarwal ◽  
Chung Phan ◽  
Todd M. Acinelli
Keyword(s):  
Data Collection ◽  
Feature Correspondence ◽  
Ground Truthing

A Field Comparison of Methods and Data Results Between a Manual And Robotic Remote Sensed Survey of a Storm Water Management Pond in Kitchener, Ontario

GEOMATICA ◽  
2014 ◽  
Vol 68 (4) ◽  
pp. 345-354
Author(s):  
Andrew Blakey ◽  
Eugenia Acosta ◽  
Ryan Gariepy
Keyword(s):  
Data Collection ◽  
Human Error ◽  
Survey Methods ◽  
Sediment Surface ◽  
Measurement Unit ◽  
Bathymetric Survey ◽  
Single Beam ◽  
Bathymetric Data ◽  
Unmanned Surface Vessel ◽  
Accuracy Data

Conventional shallow water bathymetric survey methods are time consuming, expensive, susceptible to human error, and often hazardous. An innovative end-to-end solution that improves water surveying by reduc ing these risks through the use of an unmanned bathymetric data collection system has been designed and built. This system combines a collection of pre- and post-processing routines with the capabilities of a purposebuilt unmanned surface vessel to measure and build accurate bathymetric datasets that are easy to integrate into any CAD or GIS database. Data collection involves the fusion of high-accuracy data from a single beam echosounder, GPS, and iner tial measurement unit (IMU) to generate sediment surface points at centimetre-level accuracy. Through use of an unmanned vessel, these surveys are repeatable without requiring any persons to be on or in the waterbody. This paper presents the results of a focused validation study conducted to illustrate that this platform gen er ates comparable data to a manual survey while greatly reducing survey time and improving safety. Results show a volumetric difference of 2.8% between the Kingfisher USV and manual survey data. Surveying duration was shorter at 42 minutes compared to 140 minutes. This survey was also reliably completed despite challenging environmental conditions.

scholarly journals Objective stratification and sampling-effort allocation of ground-truthing in benthic-mapping surveys

2009 ◽  
Vol 67 (4) ◽  
pp. 628-637 ◽  
Author(s):  
Annika J. Clements ◽  
James A. Strong ◽  
Clare Flanagan ◽  
Matthew Service
Keyword(s):  
Resource Constraints ◽  
Slope Angle ◽  
Calculated Data ◽  
Remotely Sensed ◽  
Irish Sea ◽  
Sampling Effort ◽  
Remotely Sensed Data ◽  
Sediment Grain Size ◽  
Effort Allocation ◽  
Ground Truthing

Abstract Clements, A. J., Strong, J. A., Flanagan, C., and Service, M. 2010. Objective stratification and sampling-effort allocation of ground-truthing in benthic-mapping surveys. – ICES Journal of Marine Science, 67: 628–637. The application of statistical procedures for objective stratification of sampling effort during map ground-truthing is presented. Marine benthic mapping is usually undertaken in two stages: a remotely sensed acoustic survey followed by ground-truthing to confirm ground-type and habitat classification. The objective of this study was to assess the application of optimum allocation analysis (OAA) through the use of remotely sensed data to direct expensive ground-truthing sampling effort. At an offshore site in the Irish Sea, classification of remotely sensed data, namely bathymetry and slope angle, generated six predicted ground-types. Calculated data variances within each ground-type were assumed to be a predictor of substratum heterogeneity, and these were used in an OAA to apportion ground-truthing effort objectively within each ground-type in order to achieve a set level of sampling precision. The sampling effort recommended by the OAA was realistic and practical with regard to video footage, but the collection of grabs was limited by resource constraints. The coefficient of variation (CV) of the video ground-truthing data matched that estimated by OAA, but the inability to collect all the recommended grabs resulted in CVs greater than expected for sediment grain-size parameters. The efficient identification of substratum classes using OAA represents a first stage whereby this method could direct ground-truthing that could ultimately be used for habitat mapping.

Improving the Efficiency of Image Interpretation Using Ground Truth Terrestrial Photographs

2017 ◽  
pp. 53-92
Author(s):  
Gennady Gienko ◽  
Michael Govorov
Keyword(s):  
Data Collection ◽  
Image Interpretation ◽  
Ground Truth ◽  
Remotely Sensed ◽  
Natural Sciences ◽  
Aerial Photographs ◽  
Field Observations ◽  
Web Based ◽  
Remotely Sensed Imagery ◽  
The Social

Researchers worldwide use remotely sensed imagery in their projects, in both the social and natural sciences. However, users often encounter difficulties working with satellite images and aerial photographs, as image interpretation requires specific experience and skills. The best way to acquire these skills is to go into the field, identify your location in an overhead image, observe the landscape, and find corresponding features in the overhead image. In many cases, personal observations could be substituted by using terrestrial photographs taken from the ground with conventional cameras. This chapter discusses the value of terrestrial photographs as a substitute for field observations, elaborates on issues of data collection, and presents results of experimental estimation of the effectiveness of the use of terrestrial ground truth photographs for interpretation of remotely sensed imagery. The chapter introduces the concept of GeoTruth – a web-based collaborative framework for collection, storing and distribution of ground truth terrestrial photographs and corresponding metadata.

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