A Comparison of Haze Removal Algorithms and Their Impacts on Classification Accuracy for Landsat Imagery

Xiao, Yang; Ouyang, Zhiyun; Zhang, Zhiming; Xian, Chaofan

doi:10.1590/s1982-21702017000100004

Cited by 6 publications

(4 citation statements)

References 28 publications

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“…The Photoscan software optimizes the camera parameters and points feature automatically. The distance between the two coordinate (GPS and total station) calculated based on the measured coordinates was evaluated by means of the Root Mean Square Error (RMSE) as to accuracy measure, using 13 checkpoints (GCP) [65].…”

Section: Resultsmentioning

confidence: 99%

A System Dynamic Model to Estimate Leachate and Biogas Production in MSW Irregular Disposal Areas Aided by Digital Terrain Model

Lopes¹,

Fernandes²,

Freire³

2021

AJEP

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Interactions between several parameters to estimate leachate and biogas production are very complex especially in irregular disposal areas without operational control and with few climate information. Nevertheless, the modeling challenges can be overcome using a System Dynamics (SD) approach that allows measure long term dynamics of a complex system. The proposed model is based upon a computer simulation to understand circular causality among soil water balance model and modified first-order decay methane generation aided by MSW landfilled volume calculation from Digital Terrain Model. The leachate accumulated is considered as targets for the calibration and validation. A model test run demonstrated that measured and calculated values of the leachate flow rate, applied in Volta Redonda's uncontrolled landfill (Brazil) with a spatial resolution of 4,3 cm, were similar (RMSE = 0.10013 and SD = 0.0994). The SD model fitted with higher accuracy with the real data, indicating differences less than 8% for leachate production. After landfill methane generation parameters translating among first-order decay model it was found k = 0.28 1/yr and the L 0 = 62,18 (m 3 CH 4 /ton waste). The obtained result were compared to the LandGEM modified model results and shows that the proposed method was capable of predicting the final productivity without overestimating the methane yield and was also able to capture the system behavior.

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Section: Resultsmentioning

confidence: 99%

A System Dynamic Model to Estimate Leachate and Biogas Production in MSW Irregular Disposal Areas Aided by Digital Terrain Model

Lopes¹,

Fernandes²,

Freire³

2021

AJEP

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“…The Top of Atmosphere (TOA) reflectance was applied to convert the Digital Number (DN) values in accordance with the standard protocols supplied by the USGS after the acquisition of Landsat-5 TM (2000 and2010) and Landsat OLI-TIRS (2021) imagery from the USGS website (2018). Since USGS already performed geometric corrections on Level 1T products, no additional geometric correction was done for this investigation (Xiao et al, 2017). The ENVI program is used to perform radiometric correction and improve visualization.…”

Section: Image Pre-processingmentioning

confidence: 99%

Studying the spatio-temporal changes of urban green space: A case study of Pokhara Metropolitan City

Subedi

Pokhrel²

2023

J. Eng. Iss. Solut.

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Green space refers to land areas covered primarily with vegetation, including parks, gardens, nature reserves, and other similar areas. These spaces offer various benefits such as supporting biodiversity, enhancing air and water quality, promoting mental and physical well-being, providing opportunities for recreation and social interaction, and improving the overall beauty of the environment. To assess the dynamics of green space in Pokhara Metropolitan City (PMC), maximum likelihood classification and normalized difference vegetation index (NDVI) methods were utilized to analyze satellite imagery. The study showed two distinct patterns of urban green space, with the green space in the central city gradually decreasing, while the nearby suburban and remote areas of PMC experienced an increase as agricultural land was transformed into grassland due to population migration. Consequently, the area of moderately healthy vegetation increased, while healthy vegetation decreased from 4926 hectares (10.61% of total area) to 2535 hectares (5.46% of total area). Additionally, the area of no vegetation such as urban areas increased from 1.8% to 2.17%. An accuracy assessment was used to validate the analyzed data, resulting in an overall accuracy of 81.91% and a Kappa coefficient of 0.63. The primary factors contributing to the loss of green spaces were urban growth and population growth within the inner metropolis. Therefore, it is crucial to maintain PMC's green areas and give more attention to this issue while developing municipal plans and policies in the future.

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“…An image convolution filter might improve results. Several cloud removal processes have been attempted but many require multiple images of the same area or the use of the blue spectral band, which is unavailable in early Landsat imagery [47]. We have tried a partial homomorphic filter process with limited success [48].…”

Section: Success or Failure?mentioning

confidence: 99%

Extracting Khmer Rouge Irrigation Networks from Pre-Landsat 4 Satellite Imagery Using Vegetation Indices

et al. 2019

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Often discussed, the spatial extent and scope of the Khmer Rouge irrigation network has not been previously mapped on a national scale. Although low resolution, early Landsat images can identify water features accurately when using vegetation indices. We discuss the methods involved in mapping historic irrigation on a national scale, as well as comparing the performance of several vegetation indices at irrigation detection. Irrigation was a critical component of the Communist Part of Kampuchea (CPK)'s plan to transform Cambodia into an ideal communist society, aimed at providing surplus for the nation by tripling rice production. Of the three indices used, normalized difference, corrected transformed, and Thiam's transformed vegetation indexes, (NDVI, CTVI, and TTVI respectively), the CTVI provided the clearest images of water storage and transport. This method for identifying anthropogenic water features proved highly accurate, despite low spatial resolution. We were successful in locating and identifying both water storage and irrigation canals from the time that the CPK regime was in power. In many areas these canals and reservoirs are no longer visible, even with high resolution modern satellites. Most of the structures built at this time experienced some collapse, either during the CPK regime or soon after, however many have been rehabilitated and are still in use, in at least a partial capacity.

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A Comparison of Haze Removal Algorithms and Their Impacts on Classification Accuracy for Landsat Imagery

Cited by 6 publications

References 28 publications

A System Dynamic Model to Estimate Leachate and Biogas Production in MSW Irregular Disposal Areas Aided by Digital Terrain Model

A System Dynamic Model to Estimate Leachate and Biogas Production in MSW Irregular Disposal Areas Aided by Digital Terrain Model

Studying the spatio-temporal changes of urban green space: A case study of Pokhara Metropolitan City

Extracting Khmer Rouge Irrigation Networks from Pre-Landsat 4 Satellite Imagery Using Vegetation Indices

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