Applied Geomatics最新文献_第7页

Sentinel SAR-optical fusion for improving in-season wheat crop mapping at a large scale using machine learning and the Google Earth engine platform 利用机器学习和谷歌地球引擎平台，将哨兵合成孔径雷达与光学融合，改进大尺度的当季小麦作物测绘

IF 2.3

Applied Geomatics Pub Date : 2023-12-28 DOI: 10.1007/s12518-023-00545-4

Louis Evence Zoungrana, Meriem Barbouchi, Wael Toukabri, Mohamedou Ould Babasy, Nabil Ben Khatra, Mohamed Annabi, Haithem Bahri

{"title":"Sentinel SAR-optical fusion for improving in-season wheat crop mapping at a large scale using machine learning and the Google Earth engine platform","authors":"Louis Evence Zoungrana, Meriem Barbouchi, Wael Toukabri, Mohamedou Ould Babasy, Nabil Ben Khatra, Mohamed Annabi, Haithem Bahri","doi":"10.1007/s12518-023-00545-4","DOIUrl":"10.1007/s12518-023-00545-4","url":null,"abstract":"<div><p>In-season wheat growing area identification is of great importance for monitoring crop growth conditions and predicting related yield. In this study, we developed an approach to map wheat crops at a regional scale, using both the Synthetic Aperture Radar (SAR, Sentinel-1, S1) and Copernicus Optical (Sentinel-2, S2) satellite data, to estimate the extent of the wheat growing area. The approach relies on machine learning random forest classification algorithm performed in the Google Earth Engine (GEE) cloud platform. The methodology is based on three experiments, each consisting of the processing of a specific Sentinel time series imageries: a first experiment considering the S1 data solely, a second experiment with the S2 data solely and a third experiment with S1 + S2 data merged. The results showed that the third experiment combining SAR and optical data turned out with the best overall accuracy of 82.36% and a kappa coefficient of 0.77. These results indicate that the integration of Sentinel-1 and Sentinel-2 improved classification accuracy by 1.5 to 6% over the use of Sentinel-2 only. A comprehensive assessment based on survey samples revealed Producer and User accuracies of 84% and 81% respectively; and an F1-score of 0.82. The approach followed in the study provides a basis for mapping seasonal wheat areas that will support planning and policy decisions.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139150355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic non-destructive UAV-based structural health monitoring of steel container cranes 基于无人机的钢制集装箱起重机结构健康自动无损监测

IF 2.3

Applied Geomatics Pub Date : 2023-12-20 DOI: 10.1007/s12518-023-00542-7

Vanessa De Arriba López, Mehdi Maboudi, Pedro Achanccaray, Markus Gerke

{"title":"Automatic non-destructive UAV-based structural health monitoring of steel container cranes","authors":"Vanessa De Arriba López, Mehdi Maboudi, Pedro Achanccaray, Markus Gerke","doi":"10.1007/s12518-023-00542-7","DOIUrl":"10.1007/s12518-023-00542-7","url":null,"abstract":"<div><p>Container cranes are of key importance for maritime cargo transportation. The uninterrupted and all-day operation of these container cranes, which directly affects the efficiency of the port, necessitates the continuous inspection of these massive hoisting steel structures. Due to the large size of cranes, the current manual inspections performed by expert climbers are costly, risky, and time-consuming. This motivates further investigations on automated non-destructive approaches for the remote inspection of fatigue-prone parts of cranes. In this paper, we investigate the effectiveness of color space-based and deep learning-based approaches for separating the foreground crane parts from the whole image. Subsequently, three different ML-based algorithms (k-Nearest Neighbors, Random Forest, and Naive Bayes) are employed to detect the rust and repainting areas from detected foreground parts of the crane body. Qualitative and quantitative comparisons of the results of these approaches were conducted. While quantitative evaluation of pixel-based analysis reveals the superiority of the k-Nearest Neighbors algorithm in our experiments, the potential of Random Forest and Naive Bayes for region-based analysis of the defect is highlighted.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12518-023-00542-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138956852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flash flood hazard assessment in the Amlog Valley Basin, North-West Galala City, Egypt, based on a morphometric approach 基于形态计量学方法的埃及加拉拉市西北部 Amlog 谷盆地山洪灾害评估

IF 2.3

Applied Geomatics Pub Date : 2023-12-18 DOI: 10.1007/s12518-023-00539-2

Mohamed Alkhuzamy Aziz, Ali Hagras

引用次数: 0

Landslide susceptibility mapping by frequency ratio and fuzzy logic approach: a case study of Mogods and Hedil (Northern Tunisia) 利用频率比和模糊逻辑方法绘制滑坡易发性地图：莫戈德斯和赫迪勒（突尼斯北部）案例研究

IF 2.3

Applied Geomatics Pub Date : 2023-12-15 DOI: 10.1007/s12518-023-00544-5

Adel Klai, Rim Katlane, Romdhane Haddad, Mohamed Chedly Rabia

{"title":"Landslide susceptibility mapping by frequency ratio and fuzzy logic approach: a case study of Mogods and Hedil (Northern Tunisia)","authors":"Adel Klai, Rim Katlane, Romdhane Haddad, Mohamed Chedly Rabia","doi":"10.1007/s12518-023-00544-5","DOIUrl":"10.1007/s12518-023-00544-5","url":null,"abstract":"<div><p>The aim of this study is to produce a landslide susceptibility map in Mogods and Hedil using the fuzzy logic method. To increase the objectivity of the approach, the fuzzy membership was calculated using the frequency ratio (FR). Nine factors were considered for landslide control, including slope, aspect, plan curvature, profil curvature, distance from faults, distance from rivers, land use, precipitation, and lithology. The frequency ratio was used to calculate the fuzziness of each factor, and these results were then applied to the fuzzy operators to produce the landslide susceptibility map. The selection of the susceptibility map closest to reality was based on the spatial distribution of landslides in each susceptibility class of each fuzzy operator and on the application of the receiver operating curve (ROC). The results of the area under curve (AUC) analysis show that the GAMMA operator (0.90) provided the most accurate prediction of the landslide susceptibility map, as indicated by the prediction accuracy of the model (0.766). The study area was classified into four classes using Jenks natural fracture classification method: low susceptibility zone, moderate susceptibility zone, high susceptibility zone, and very high susceptibility zone. The use of the fuzzy GAMMA operator for landslide susceptibility mapping gave a very satisfactory result with a reliability rate of 76.6%.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142411937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing vegetation health in dry tropical forests of Rajasthan using remote sensing 利用遥感技术评估拉贾斯坦邦热带干旱森林的植被健康状况

IF 2.3

Applied Geomatics Pub Date : 2023-12-04 DOI: 10.1007/s12518-023-00541-8

Garima Toor, Neha Goyal Tater, Tarush Chandra

{"title":"Assessing vegetation health in dry tropical forests of Rajasthan using remote sensing","authors":"Garima Toor, Neha Goyal Tater, Tarush Chandra","doi":"10.1007/s12518-023-00541-8","DOIUrl":"10.1007/s12518-023-00541-8","url":null,"abstract":"<div><p>The rich vegetation areas with a variety of biodiversity are designated under categories of protected areas. Protected areas on Earth are the biomes where the elements of nature function together and maintain the life cycle. These protected areas include forest cover, rivers, waterbodies, mangroves, etc. which are the origin of ecology and biodiversity and provide natural resources utilized for human needs. Maintaining protected area is an essential aspect of managing the forest covers and a key strategy for combating the negative effects of biodiversity loss and fragmentation. The research aims to assess the vegetation health in the protected areas with NDVI using remote sensing. The paper also explores the factors for vegetation degradation and related habitat areas. The decline in vegetation quality, related species variety, and effect on their habitat areas are checked with NDVI results. The protected areas are subjected to various anthropogenic pressures, including grazing, forest fire, and wood harvesting. The paper highlights the need for effective management strategies to mitigate the identified challenges and ensure the long-term conservation and sustainability of the protected areas. This will ensure more habitat availability, healthy vegetation, genetic exchange between species populations, and a reduction in human-wildlife conflict. The findings of this paper can inform the development of more effective management strategies to protect and conserve these valuable ecosystems.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138603855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating remote sensing and GIS techniques for effective watershed management: a case study of Wadi Al-Naft Basins in Diyala Governorate, Iraq, using ALOS PALSAR digital elevation model 利用 ALOS PALSAR 数字高程模型，将遥感和地理信息系统技术相结合，促进有效的流域管理：伊拉克迪亚拉省 Wadi Al-Naft 盆地案例研究

IF 2.3

Applied Geomatics Pub Date : 2023-12-02 DOI: 10.1007/s12518-023-00540-9

Nadia A. Aziz, Imzahim A. Alwan, Okechukwu E. Agbasi

{"title":"Integrating remote sensing and GIS techniques for effective watershed management: a case study of Wadi Al-Naft Basins in Diyala Governorate, Iraq, using ALOS PALSAR digital elevation model","authors":"Nadia A. Aziz, Imzahim A. Alwan, Okechukwu E. Agbasi","doi":"10.1007/s12518-023-00540-9","DOIUrl":"10.1007/s12518-023-00540-9","url":null,"abstract":"<div><p>The study used remote sensing and GIS techniques for defining the watershed and computing various morphometric characteristics of the Wadi Al-Naft Basins in Diyala Governorate, Iraq. The findings reveal the existence of two sub-basins, each of which was found to have four streams order. The drainage density, a measure of the stream length per unit area, was found to be 0.19 and 0.16 km/km<sup>2</sup>, respectively. They found 153 streams, categorized into different orders based on size and connectivity. First-order streams were found to be 882.71 km in length, totalling 128, while second-order streams totalling 533.12 km in length. Third-order streams numbered 4 with a total length of 199.9 km, while there were two fourth-order streams with a total length of 57 km. These results may be utilised to examine water flow patterns in the area and are crucial for understanding the hydrological features of the Wadi Al-Naft Basin. To effectively manage water resources, the research underlines the value of GIS in obtaining data on water resources, including a range of morphometric factors. A valuable tool for water resource management, the paper outlines a systematic process for identifying and characterising watersheds that may be used in a case study.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138607778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Soil quality analysis and mapping of various land uses using geospatial technology: a case study 利用地理空间技术进行土壤质量分析和绘制各种土地利用图：案例研究

IF 2.3

Applied Geomatics Pub Date : 2023-11-25 DOI: 10.1007/s12518-023-00538-3

C. T. Anuradha

{"title":"Soil quality analysis and mapping of various land uses using geospatial technology: a case study","authors":"C. T. Anuradha","doi":"10.1007/s12518-023-00538-3","DOIUrl":"10.1007/s12518-023-00538-3","url":null,"abstract":"<div><p>This manuscript presents a comprehensive study on soil quality analysis and mapping across various land uses in the city of Madurai, India, leveraging advanced geospatial technology. Soil quality assessment is crucial for sustainable land management and informed decision-making in urban planning and agriculture. The study integrates geospatial data, remote sensing imagery, and ground-truthing techniques to evaluate soil properties and categorize land uses, facilitating a holistic understanding of the city’s soil health. The research begins by collecting soil samples from multiple locations representing diverse land uses, including urban, peri-urban, and agricultural areas within Madurai. Laboratory analyses are performed to measure various soil attributes such as pH, organic matter content, nutrient levels, and texture. Simultaneously, high-resolution satellite imagery and geographic information system (GIS) data are employed to create detailed land use maps, identifying distinct patterns and spatial distributions. The pH, amount of organic matter, amount of nutrients, and texture of the soil were all examined. Based on the significance of these characteristics in determining soil quality, a soil quality index was devised, and maps of soil quality were made for each type of land use. The consistency index map is created to gauge the level of soil contamination. Using statistical and geospatial analyses, the manuscript highlights significant variations in soil properties across different land use types. It explores the impact of urbanization on soil quality, revealing areas of soil degradation and pollution in urban zones. Furthermore, the study identifies regions with fertile soils suitable for agricultural purposes and suggests potential areas for soil improvement and sustainable land management practices.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142413839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving quantitative structure models with filters based on allometric scaling theory 基于异速标度理论的滤波器改进定量结构模型

IF 2.7

Applied Geomatics Pub Date : 2023-11-20 DOI: 10.1007/s12518-023-00537-4

Jan Hackenberg, Jean-Daniel Bontemps

{"title":"Improving quantitative structure models with filters based on allometric scaling theory","authors":"Jan Hackenberg, Jean-Daniel Bontemps","doi":"10.1007/s12518-023-00537-4","DOIUrl":"10.1007/s12518-023-00537-4","url":null,"abstract":"<div><p>Quantitative structure models (<span>QSMs</span>) are topological ordered cylinder models of trees which cover the complete branching structure from the stem’s base up to all tips. But the thin branches appear too large in the input point clouds. This leads to a well known problem, the overestimation of the QSM cylinders’ volumes and radii in thin branches. We present here a solution to this problem by introducing two <span>QSM</span> filters correcting the radii of such cylinders. The filters itself are build upon the theoretical fundamentals of allometric scaling theories. For validation we use <span>QSMs</span> produced from an open point cloud data set of tree clouds with the SimpleForest software. We compare the QSM volume against the harvested reference data for 65 felled trees. We also found <span>QSM</span> data of TreeQSM, a competitive and broadly accepted <span>QSM</span> modeling tool utilizing a different filter method. Our method performed more accurate on three different error measures. We quantify the error of our method with a RMSE of 127 <span>(mathtt {dm^{3}})</span>, a <span>(mathtt {r^{2}_{adj.}})</span> of 0.96 and a <span>CCC</span> of 0.97. With those filters the accuracy of estimating total or partial volume of trees does significantly increase.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138454491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hyperspectral dimensionality reduction based on SAE-1DCNN feature selection approach 基于SAE-1DCNN特征选择方法的高光谱降维

IF 2.7

Applied Geomatics Pub Date : 2023-11-13 DOI: 10.1007/s12518-023-00535-6

Mario Ernesto Jijón-Palma, Caisse Amisse, Jorge Antonio Silva Centeno

{"title":"Hyperspectral dimensionality reduction based on SAE-1DCNN feature selection approach","authors":"Mario Ernesto Jijón-Palma, Caisse Amisse, Jorge Antonio Silva Centeno","doi":"10.1007/s12518-023-00535-6","DOIUrl":"10.1007/s12518-023-00535-6","url":null,"abstract":"<div><p>Hyperspectral remote sensing enables a detailed spectral description of the object’s surface, but it also introduces high redundancy because the narrow contiguous spectral bands are highly correlated. This has two consequences, the Hughes phenomenon and increased processing effort due to the amount of data. In the present study, it is introduced a model that integrates stacked-autoencoders and convolutional neural networks to solve the spectral redundancy problem based on the feature selection approach. Feature selection has a great advantage over feature extraction in that it does not perform any transformation on the original data and avoids the loss of information in such a transformation. The proposed model used a convolutional stacked-autoencoder to learn to represent the input data into an optimized set of high-level features. Once the SAE is learned to represent the optimal features, the decoder part is replaced with regular layers of neurons for reduce redundancy. The advantage of the proposed model is that it allows the automatic selection and extraction of representative features from a dataset preserving the meaningful information of the original bands to improve the thematic classification of hyperspectral images. Several experiments were performed using two hyperspectral data sets (Indian Pines and Salinas) belonging to the AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) sensor to evaluate the performance of the proposed method. The analysis of the results showed precision and effectiveness in the proposed model when compared with other feature selection approaches for dimensionality reduction. This model can therefore be used as an alternative for dimensionality reduction.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134992940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification of groundwater potential zones using geospatial techniques and analytical hierarchy process (AHP): case of the middle and high Cheliff basin, Algeria 利用地理空间技术和层次分析法(AHP)确定地下水潜力带:以阿尔及利亚切里夫中高盆地为例

IF 2.7

Applied Geomatics Pub Date : 2023-11-13 DOI: 10.1007/s12518-023-00536-5

Djamel Maizi, Abdelmadjid Boufekane, Gianluigi Busico

{"title":"Identification of groundwater potential zones using geospatial techniques and analytical hierarchy process (AHP): case of the middle and high Cheliff basin, Algeria","authors":"Djamel Maizi, Abdelmadjid Boufekane, Gianluigi Busico","doi":"10.1007/s12518-023-00536-5","DOIUrl":"10.1007/s12518-023-00536-5","url":null,"abstract":"<div><p>This study aims to delineate groundwater potential zones using an integrated approach of remote sensing (RS), geographical information system (GIS), and analytical hierarchy process (AHP) method in the middle and high Cheliff basin, Algeria. Multiple data such as lithology, lineament density, geomorphology, slope, soil, rainfall, drainage density, and land use/land cover were considered for delineating the groundwater potential zones. Spatially distributed maps/thematic layers of all the aforementioned parameters were created using remotely sensed data as well as ground data in a GIS environment. The assigned weights of the thematic layers and their features were then normalized by using the AHP technique. The delineated groundwater potential zones in this study area were categorized as very good, good, moderate, and poor, respectively. The results showed that the area along the Chlef River which is approximately 6% of the total study area was delineated as an area having “very good” potential for groundwater. The “good zone” delineated encompassed approximately 31% of the study area and was found in the pediment-pediplain complex zone. The moderate zones encompassed approximately 58% of the area. The “poor zones” encompassed approximately 5% of the area which included the cities of Ramka, El Hadjadj, Moussadek, and certain parts of Mekhatria. The groundwater potential zones map was compared with the actual discharge data from various wells within the study area and was found reasonable. Overall, this study provides a convenient approach of delineating the potential of groundwater availability which ultimately will aid in better planning and managing of groundwater resources.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136281692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0