Multi-Temporal Environmental Analysis Of Oil Field Activities In South-Central Oklahoma Using Landsat Thematic Mapper, Aerial Photography And GIS

1995 ◽  
Author(s):  
J.S. Janks ◽  
G.S. Edwards ◽  
A.E. Prelat
Keyword(s):  
Environmental Analysis ◽  
Aerial Photography ◽  
Oil Field ◽  
Thematic Mapper ◽  
Landsat Thematic Mapper ◽  
South Central ◽  
Multi Temporal

An inexpensive and effective basis for monitoring rice areas using GIS and remote sensing

1994 ◽  
Vol 34 (7) ◽  
pp. 1079 ◽  
Author(s):  
HD Barrs ◽  
SA Prathapar
Keyword(s):  
Aerial Photography ◽  
Thematic Mapper ◽  
Environmental Constraints ◽  
Landsat Thematic Mapper ◽  
Entire Study ◽  
Current Season ◽  
Gis And Remote Sensing ◽  
Rice Area ◽  
Rice Yields ◽  
Entire Study Area

To ensure orderly, planned rice production, and to meet environmental constraints on the location of rice in the landscape, there is a need to locate and measure the area of rice plantings by paddock and by farm. Traditionally, rice areas have been estimated from manual measurements taken from aerial photography: overall, an expensive and time-consuming approach. In a pilot study covering 5 seasons on an area of 6 by 6.25 km containing 160 paddocks in 22 farms, we have found that it is possible to locate rice areas accurately, to determine their size, and to classify the vigour of the crop. Information is transferred into a geographic information system from classified satellite imagery using Landsat Thematic Mapper bands 3, 4, and 5 and then processed with a simple rule to distinguish rice rapidly from other crops. Furthermore, the classification categorises rice within each paddock into 3 statistically distinct groups of poor, medium, or good crop vigour. Total rice area and area of each rice class are computed for each rice paddock. Paddock data are combined to give corresponding values for each farm and for the entire study area. This information could be useful for forecasting rice yields in the current season and for the management of paddocks for more uniform and higher yields in subsequent seasons. The procedures used require inexpensive software and are largely automated since they include unsupervised clustering. The need for special skills is thereby minimised, making the transfer of the technology to interested parties quite straightforward. Over the 5 seasons, all paddocks growing rice were correctly identified and only 2 non-rice paddocks wrongly identified as growing rice.

scholarly journals Inversion of Lake Bathymetry through Integrating Multi-Temporal Landsat and ICESat Imagery

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2896 ◽  
Author(s):  
Yuannan Long ◽  
Shixiong Yan ◽  
Changbo Jiang ◽  
Changshan Wu ◽  
Rong Tang ◽  
...  
Keyword(s):  
Water Level ◽  
Resource Planning ◽  
Initial Boundary ◽  
Thematic Mapper ◽  
Lake Basin ◽  
Optical Remote Sensing ◽  
Landsat Thematic Mapper ◽  
Laser Altimeter ◽  
Single Beam ◽  
Multi Temporal

Lake bathymetry provides valuable information for lake basin planning and treatment, lake watershed erosion and siltation management, water resource planning, and environmental protection. Lake bathymetry has been surveyed with sounding techniques, including single-beam and multi-beam sonar sounding, and unmanned ship sounding. Although these techniques have high accuracy, most of them require long survey cycles and entail a high degree of difficulty. On the contrary, optical remote sensing inversion methods are easy to implement, but tend to provide less accurate bathymetry measures, especially when applied to turbid waters. The present study, therefore, aims to improve the accuracy of bathymetry measurements through integrating Landsat Thematic Mapper imagery, the Ice, Cloud, and Land Elevation Satellite’s Geoscience Laser Altimeter System (ICESat/GLAS) data, and water level data measured at hydrological stations. First, the boundaries of a lake at multiple dates were derived using water extraction, initial boundary extraction, and Landsat Thematic Mapper/Enhanced Thematic Mapper (TM/ETM+) strip removal processing techniques. Second, ICESat/GLAS data were introduced to obtain additional topographic information of a lake. The striped topography of a lake’s area was then obtained through eliminating and correcting erroneous points and interpolating the values of unknown points. Third, the entire bathymetry of the lake was obtained through interpolating water level values of lake boundary points in various dates. Experiments show that accurate bathymetry (±1 m) can be successfully derived.

Change Detection through Four Techniques Using Multi-Temporal Landsat Thematic Mapper Data: A Case Study on Falavarjan Area, Isfahan, Iran

2014 ◽  
Vol 23 (2) ◽  
pp. 58-66 ◽  
Author(s):  
M. A. Madanian ◽  
◽  
A. Soffianian ◽  
A. Hajian ◽  
Keyword(s):  
Change Detection ◽  
Thematic Mapper ◽  
Landsat Thematic Mapper ◽  
Thematic Mapper Data ◽  
Multi Temporal

scholarly journals Discrimination of Cabbage Fields for Detecting Clubroot Disease Damage Using Landsat Thematic Mapper Data.

1992 ◽  
Vol 61 (3) ◽  
pp. 527-535 ◽  
Author(s):  
Yoichi TORIGOE ◽  
Tetsuro AMANO ◽  
Kei OGAWA ◽  
Michikazu FUKUHARA
Keyword(s):  
Thematic Mapper ◽  
Landsat Thematic Mapper ◽  
Clubroot Disease ◽  
Thematic Mapper Data ◽  
Disease Damage
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