scholarly journals The effect of Neutral Density Filters on drones orthomosaics classifications for land-use mapping

2020 ◽  
Author(s):  
Jean Doumit
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
High Resolution ◽  
Quality Assessment ◽  
Neutral Density ◽  
Paper Study ◽  
Visual Interpretation ◽  
Kappa Index ◽  
Urbanized Area ◽  
Index Calculation

Landscape and Street Photographers use Neutral Density (ND) Filters to enhance their photos, drones images with advanced photogrammetry software produce high-resolution orthomosaic for the production of land use maps.This paper study the effect of four different neutral density filters (ND-4, ND-8, ND-16, and ND-32) on drone orthomosaics production of a half urbanized area, a five generated orthomosaics one not filtered and four filtered were classified in a remote sensing software and compared between each other. Three comparison methods used for the comparison between orthomosaics: An image visual interpretation, kappa index calculation for land-use quality assessment, and quantity analysis of land use filter generated polygons.

scholarly journals Analisis Perubahan Penggunaan Lahan Kota Kupang Nusa Tenggara Timur Tahun 2010-2018

2021 ◽  
Vol 2 (1) ◽  
pp. 36-52
Author(s):  
Ignasius Suban Angin ◽  
Sunimbar Sunimbar
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
High Resolution ◽  
Satellite Imagery ◽  
Land Use Changes ◽  
Urban Land Use ◽  
Survey Method ◽  
Visual Interpretation ◽  
Significant Change ◽  
High Resolution Satellite Imagery

Urban land use is one of the important factors in urban environmental planning and modeling.  Recent developments also show that Remote Sensing has been accepted as one of the main tools for information extraction and mapping.  Extraction of land use information based on Remote Sensing includes visual interpretation and digital interpretation.  This study aims to assess the ability of  SAS Planet High Resolution Satellite Imagery in mapping land use, and obtaining information on land use changes in terms of the area and type of land use in the research area in 2010-2018.  This research is focused in 3 (three) sub-districts in Kupang City.  The reason for choosing the location is because observations show that there are many changes in land use, even areas that should not be used have experienced a touch of development.  In addition, there are several educational centers, especially universities located in the area which tend to trigger land use changes.  The research method used is survey method and data collection with SAS Planet Satellite Image Interpretation.  The method of spatial analysis using GIS is by visual interpretation, digitization and overlay.  Visual interpretation, digitization and overlay are used to determine land use changes that occur in the study area.  The results in this study indicate that SAS Planet High Resolution Satellite Imagery can be used to identify land use information in Kupang City, because it can display objects more clearly, so that interpretation results can reach 90 percent accuracy and land use change analysis shows that within 8 years  (2010-2018) there has been a significant change in land use where the built up land in the form of buildings, settlements and forests/mangroves has increased in area.  Along with that, there is a reduction in the area of ​​use of grasslands and shrubs.  Conversion of the fields also occurs in a moderate area.  there was a significant change in which the highest land change occurred in the use of built-up land (buildings and settlements) and forests/mangroves, each of which experienced an increase of 108.45 ha (3.44 percent), settlements increased by 894.88 ha (27.50 percent)  , and forest/mangrove area increased by 167.92 ha (5.16 percent).

Discussion on Remote Dynamic Sensing Monitoring Method for Land in Regions under Rapid Economic Development

2012 ◽  
Vol 518-523 ◽  
pp. 5788-5792
Author(s):  
Zheng Dong Xie ◽  
Jian Zhang ◽  
Bu Zhuo Peng
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
High Resolution ◽  
Property Right ◽  
Remote Sensing Images ◽  
Monitoring Method ◽  
Nanjing City ◽  
Platform System ◽  
First Time

The paper was supported by The Second Land Investigation Item and took Nanjing city, Jiangsu Province as a case study. The research of the theory, technique and application for land use investigation was achieved by the high-resolution remote sensing images for application, designed a set of technique of land use investigation for land property right management. The database and platform system were established to carry out the dynamic management of land use. Based on the summarization of the correlative studies, The paper designed a set of technique of land investigation for land property right management and also designed the technical process, dealt with the remote sensing images, detected the changed information, classified the land, investigated the land property right and established the database to serve for the management of land property right. And it has been successfully used in Nanjing. It’s unique to use the high-resolution remote sensing images by QuichBird for the scale of 1:5000 in land use investigation in area cities which is also the first time in Nanjing City.

scholarly journals CHANGE DETECTION AND LAND USE / LAND COVER DATABASE UPDATING USING IMAGE SEGMENTATION, GIS ANALYSIS AND VISUAL INTERPRETATION

2015 ◽  
Vol XL-3/W3 ◽  
pp. 61-65 ◽  
Author(s):  
J.-F. Mas ◽  
R. González
Keyword(s):  
Land Use ◽  
Image Segmentation ◽  
High Resolution ◽  
Landsat Imagery ◽  
Gis Analysis ◽  
Spectral Indices ◽  
Visual Interpretation ◽  
Class Label ◽  
High Resolution Imagery ◽  
Spot Image

This article presents a hybrid method that combines image segmentation, GIS analysis, and visual interpretation in order to detect discrepancies between an existing land use/cover map and satellite images, and assess land use/cover changes. It was applied to the elaboration of a multidate land use/cover database of the State of Michoacán, Mexico using SPOT and Landsat imagery. The method was first applied to improve the resolution of an existing 1:250,000 land use/cover map produced through the visual interpretation of 2007 SPOT images. A segmentation of the 2007 SPOT images was carried out to create spectrally homogeneous objects with a minimum area of two hectares. Through an overlay operation with the outdated map, each segment receives the “majority” category from the map. Furthermore, spectral indices of the SPOT image were calculated for each band and each segment; therefore, each segment was characterized from the images (spectral indices) and the map (class label). In order to detect uncertain areas which present discrepancy between spectral response and class label, a multivariate trimming, which consists in truncating a distribution from its least likely values, was applied. The segments that behave like outliers were detected and labeled as “uncertain” and a probable alternative category was determined by means of a digital classification using a decision tree classification algorithm. Then, the segments were visually inspected in the SPOT image and high resolution imagery to assign a final category. The same procedure was applied to update the map to 2014 using Landsat imagery. As a final step, an accuracy assessment was carried out using verification sites selected from a stratified random sampling and visually interpreted using high resolution imagery and ground truth.

scholarly journals STANDARDIZING QUALITY ASSESSMENT OF FUSED REMOTELY SENSED IMAGES

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 863-869 ◽  
Author(s):  
C. Pohl ◽  
J. Moellmann ◽  
K. Fries
Keyword(s):  
Remote Sensing ◽  
Image Quality ◽  
Image Fusion ◽  
Quality Assessment ◽  
Quantitative Assessment ◽  
Visual Assessment ◽  
Future Research ◽  
Visual Interpretation ◽  
Fused Image ◽  
The University

The multitude of available operational remote sensing satellites led to the development of many image fusion techniques to provide high spatial, spectral and temporal resolution images. The comparison of different techniques is necessary to obtain an optimized image for the different applications of remote sensing. There are two approaches in assessing image quality: 1. Quantitatively by visual interpretation and 2. Quantitatively using image quality indices. However an objective comparison is difficult due to the fact that a visual assessment is always subject and a quantitative assessment is done by different criteria. Depending on the criteria and indices the result varies. Therefore it is necessary to standardize both processes (qualitative and quantitative assessment) in order to allow an objective image fusion quality evaluation. Various studies have been conducted at the University of Osnabrueck (UOS) to establish a standardized process to objectively compare fused image quality. First established image fusion quality assessment protocols, i.e. Quality with No Reference (QNR) and Khan's protocol, were compared on varies fusion experiments. Second the process of visual quality assessment was structured and standardized with the aim to provide an evaluation protocol. This manuscript reports on the results of the comparison and provides recommendations for future research.

scholarly journals Sentinel-2 imagery usage on environmental monitoring of land use and occupation in a microwatershed in Central Brazil

Gaia Scientia ◽  
2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Jean Jesus Novais ◽  
Marilusa Pinto Coelho Lacerda
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Social Aspects ◽  
Agricultural Activities ◽  
Maximum Likelihood Algorithm ◽  
Kappa Index ◽  
Central Brazil ◽  
Strategic Plans ◽  
Distrito Federal ◽  
Sentinel 2

In the last decades, sustainability concerns have increased the demand for projects and strategic plans that integrate economic and social aspects, reducing environmental impacts. In this sense, this study aims to monitor land-use adequacy in the Ribeirão Extrema microwatershed, Distrito Federal, based on cross-mapping between land-use and occupation in 2019 and agricultural aptitude map through Geographic Information Systems and Remote sensing. To this end, a hypsometric and thematic database was prepared for the region. Besides, we acquired an image from the Sentinel-2 orbital sensor of October 2019. The image was subjected to classification regarding land-use and occupation, using the MAXVER (maximum likelihood) algorithm. It was observed that 80% of use in 2019 was related to agricultural activities. Kappa index validation reached 81% accuracy. Based on the methodology, we identified 62.33% of agricultural activities occur into its capacity; 4.33%, were used above capacity, causing environmental degradation, especially in permanent preservation areas. The application of the technique was considered satisfactory because the adequacy of land-use in the studied microwatershed could be assessed in order to pursue sustainable development. Continuous analyzes can improve results.

scholarly journals REMOTE SENSING APPLICATIONS IN THE FRAME OF “URBAN GEOLOGY” PROJECT

2017 ◽  
Vol 43 (3) ◽  
pp. 1486
Author(s):  
K. Nikolakopoulos ◽  
P. Tsompos
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Image Analysis ◽  
High Resolution ◽  
Land Use Change ◽  
Satellite Data ◽  
Urban Geology ◽  
Sensing Applications ◽  
Remote Sensing Applications ◽  
Very High

In the frame of the “Urban Geology” project of IGME a lot of remote sensing applications were carried out: DSMs creation and accuracy verification, orthorectification of very high resolution satellite data, data fusion, multitemporal and multisensor image analysis, land cover and land use change detection e.t.c. The applications that took place in the pilot case of Nafplio are presented in this study

scholarly journals A CRITICAL REVIEW OF QUALITY ASSESSMENT PROTOCOLS IN PAN-SHARPENING

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 13-18
Author(s):  
S. Aghapour Maleki ◽  
H. Ghassemian
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Quality Assessment ◽  
Quantitative Assessment ◽  
Critical Survey ◽  
Physical Constraints ◽  
Qualitative And Quantitative ◽  
Satellite Sensors ◽  
Physical Limitations ◽  
Quantitative Assessments

Abstract. Although vast amounts of pan-sharpening methods have been proposed to date, there has been relatively little published on the topic of qualitative and quantitative assessment of the pan-sharpened multispectral (MS) data. Since a high resolution reference MS image is not available, qualitative and quantitative assessments of the spatially enhanced MS image are a much more challenging task in pan-sharpening. Thomas et al. conducted a critical survey of conventional pan-sharpening methods considering remote sensing physics. In this paper, we study the effects of physical constraints of satellite sensors on conventional quality assessment protocols. The novelty of this work is in investigating the effect of physical constraints on the performance of quality assessment protocols. The most popular protocols, which are analysed here, are quality not requiring a reference (QNR), Wald’s protocol, Zhou’s protocol, Khan’s protocol and Ghassemi’s protocol. In doing so, the strengths and weaknesses of such protocols regarding the physical limitations on satellite sensors are discussed.

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