International Journal of Environment and Geoinformatics最新文献_第8页

SST Correlation Between Chlorophyll and Turbidity by Landsat MS Image Analysis for the Coast of Izmir Province 利用Landsat MS图像分析伊兹密尔省海岸叶绿素与浊度的海温相关性

International Journal of Environment and Geoinformatics Pub Date : 2022-12-11 DOI: 10.30897/ijegeo.1065482

Mert Kayalik, Ö. Çorumluoğlu

{"title":"SST Correlation Between Chlorophyll and Turbidity by Landsat MS Image Analysis for the Coast of Izmir Province","authors":"Mert Kayalik, Ö. Çorumluoğlu","doi":"10.30897/ijegeo.1065482","DOIUrl":"https://doi.org/10.30897/ijegeo.1065482","url":null,"abstract":"Temporal Sea Surface Temperature (SST) analyses by satellite images are quite vital in terms of understanding the sea water quality. Specific water quality criteria include dissolved oxygen, chlorophyll, temperature, depth, pH, salinity, and turbidity, and these criteria are used to determine water quality in seas. In the current study, three criteria which are chlorophyll, temperature (SST) and turbidity were examined through their correlation with SST derived from Landsat sensors. This let to know about the examined criteria at minimum and maximum temperature dates, the relation with respect to temperature change rates, and to understand the events that occur in certain dates. The regular or irregular increases of the detected SST are evidence of sea water quality or pollution resulted from the criteria in the study area. Therefore, first turbid water which contains a high amount of suspended sediment was studied. After the turbidity index was completed, the Chlorophyll study was carried out to detect the algae like substances. The aims of the study are to evaluate the temporal change of water quality in coastal region of Izmir province, using spectral indices, and to contribute to the development of more sensitive qualitative index algorithms in the future. At the end of the study, high correlation coefficients revealed the relationship between SST and indexes.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129329112","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: 1

Investigation of the Levels of Bio-Indicator Bacteria in the Kınalıada Coastal Area, Istanbul, Turkey 土耳其伊斯坦布尔Kınalıada沿海地区生物指示菌水平调查

International Journal of Environment and Geoinformatics Pub Date : 2022-12-11 DOI: 10.30897/ijegeo.1069839

Selma Dilara KARAMAN BAŞ, G. Altuğ

{"title":"Investigation of the Levels of Bio-Indicator Bacteria in the Kınalıada Coastal Area, Istanbul, Turkey","authors":"Selma Dilara KARAMAN BAŞ, G. Altuğ","doi":"10.30897/ijegeo.1069839","DOIUrl":"https://doi.org/10.30897/ijegeo.1069839","url":null,"abstract":"Coastal areas have an important place in island ecosystems. These areas, which may be fragile depending on the impact of human activities exposed and other environmental factors and in addition to domestic, agricultural and industrial activities, it hosts intensive touristic use in spring and summer. In this study, the closest contact with the shores of a mainland like Istanbul, among the Prince Islands in the Marmara Sea which is under the influence of the vast majority of the pollution load Kınalıada has been selected as a research area. Total heterotrophic aerobic bacteria (HAB) levels were analyzed using spreading plate method. The levels of fecal coliform (FC), total coliform (TC) and intestinal streptococci (IS) examined using Membrane Filtration Technique in the surface water samples. Variable environmental parameters (dissolved oxygen, pH, salinity, temperature) were recorded periodically using the Multiparameter (YSI 556 MPS) with seawater samples. Nutrient salts (nitrite nitrogen, nitrate nitrogen, ammonium nitrogen, phosphate phosphor), trophic level indicator Chlorophyll-a were analyzed using spectrophotometric methods. While the highest TC, FC and IS level detected as 96x103 CFU/100 ml, 49x103 CFU/100 ml, 82x103 CFU/100 ml, respectively. The highest HAB level was determined as 92x1011CFU /ml .Variable environmental parameters recorded for seawater temperature between 25.7-6.89˚C, pH 11.55 -3.60, dissolved oxygen 19.98 -1.66 mg /l and salinity ‰ 29.11-21.18 during the study period. Nutrient salts; nitrite nitrogen detected to be 0.21-0.01 mg/l; nitrate nitrogen detected to be 9.90-0.13 mg/l; ammonium nitrogen detected to be 4.80-0.02 mg/l; phosphate phosphor detected to be 22.45-0.01 mg/l. The levels of FC, TC and IS determined in Kınalıada coastal area fluctuate depending on the seasons, but these levels are determined above the legal limits. The presence of bio-indicator bacteria detected above the border throughout the sampling shows that it poses a serious risk for ecosystem health and public health.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114184301","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

Evaluation of Land Suitability for Crop Production in Northern Ghana Using GIS and AHP Based Techniques 基于GIS和AHP技术的加纳北部土地适宜性评价

International Journal of Environment and Geoinformatics Pub Date : 2022-12-11 DOI: 10.30897/ijegeo.1022275

E. Salifu, Wilson AGYEİ AGYARE, S. Abdul-Ganiyu

{"title":"Evaluation of Land Suitability for Crop Production in Northern Ghana Using GIS and AHP Based Techniques","authors":"E. Salifu, Wilson AGYEİ AGYARE, S. Abdul-Ganiyu","doi":"10.30897/ijegeo.1022275","DOIUrl":"https://doi.org/10.30897/ijegeo.1022275","url":null,"abstract":"In this study, a land suitability index for crop production in three northern regions of Ghana is spatially generated using a land suitability analysis through the integration of AHP and GIS. The study further exploited actual maize and groundnut yield obtained by farmers in the study area by integrating it with the land suitability index to spatially generate potential maize and ground yield. The actual and potential maize and groundnut yields were overlayed in GIS to produce potential yield losses for maize and groundnuts. Factors of precipitation, slope of land, LULC, soil erosion, OM and the soil type were identified through expert opinion in literature, and assigned weights through AHP for the land suitability analysis. Results obtained from the land suitability index indicates about 19.2 % of land in the three regions is highly suitable for crop production, about 20.8 % is moderately suitable, about 27.0 % is less suitable and about 33 % unsuitable due to settlements and depleted lands. Potential yield loss due to difference in actual and potential maize and groundnuts yields were 70 % and 63 % for maize and groundnuts respectively for the Northern Region, 83 % and 66 % for maize and groundnuts respectively for the North-East Region, and then 66 % and 59 % for maize and groundnuts respectively for the Savannah Region. The AHP and GIS-based land suitability analysis techniques are potentials and effective tools for determining the suitability of land for crop production thereby enhancing sustainable agricultural development through enhancing food security and creation of new jobs.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114935848","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: 1

Assessing the Impact of Climate Change on Turkish Basins 评估气候变化对土耳其盆地的影响

International Journal of Environment and Geoinformatics Pub Date : 2022-12-11 DOI: 10.30897/ijegeo.1066840

A. Tokuslu

{"title":"Assessing the Impact of Climate Change on Turkish Basins","authors":"A. Tokuslu","doi":"10.30897/ijegeo.1066840","DOIUrl":"https://doi.org/10.30897/ijegeo.1066840","url":null,"abstract":"Climate change, which is caused by the greenhouse gases released into the atmosphere by humans, disrupting the temperature, rainfall, and humidity balance on the earth, makes itself felt more and more every day. The effects of climate change are seen in oceans, habitats, briefly all over the world, from the equator to the poles. As a result of these effects, the polar glaciers are melting, the seawater level rises and soil losses increase in the coastal areas, while the severity and number of hurricanes, and floods increase in some parts of the world, while long-term droughts and desertification have started in some other regions. Climate change also affects water resources greatly, and it occurs as a decrease in water resources, forest fires, and related ecological deterioration. As a result of the decrease in the water flow in the river basins, water shortage started in the cities, agricultural production decreased and caused the expansion of arid or semi-arid areas. In this study, the impacts of climate change on Turkish basins were investigated and the measures to be taken were examined. Possible problems to be encountered in the future were mentioned and suggestions were made about what to do in the basins.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114561960","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: 1

Distribution of Rodent Species (Mammalia: Rodentia) in Zonguldak Province, Turkey 土耳其宗古尔达克省鼠类分布(哺乳纲:啮齿目)

International Journal of Environment and Geoinformatics Pub Date : 2022-12-11 DOI: 10.30897/ijegeo.1075643

Muhsin Çoğal, M. Sözen

{"title":"Distribution of Rodent Species (Mammalia: Rodentia) in Zonguldak Province, Turkey","authors":"Muhsin Çoğal, M. Sözen","doi":"10.30897/ijegeo.1075643","DOIUrl":"https://doi.org/10.30897/ijegeo.1075643","url":null,"abstract":"To know rodent species in an area is important in wildlife management studies, forestry applications, conservation purposes, and public health studies because of some rodent-borne diseases. To determine rodent species and their distribution in Zonguldak was aimed to supply a detailed inventory data and distribution maps for further studies in future. Samples were collected mostly by Sherman traps, and rarely conventional cage-like traps, phototraps, or visually from 33 localities that represent different habitat types, between 2009 and 2016. A total of 427 specimens from 15 species were evaluated. These species are: Sciurus anomalus, Myodes glareolus, Microtus subterraneus, M. levis, Apodemus flavicollis, A. sylvaticus, A. uralensis, A. witherbyi, A. mystacinus, Rattus rattus, R. norvegicus, Mus domesticus, M. macedonicus, Glis glis and Muscardinus avellanarius. Of them S. anomalus, M. levis, A. uralensis, M. macedonicus and M. avellanarius were recorded by primary data for the first time from Zonguldak. According to the results, Sciurus anomalus, Apodemus flavicollis and Glis glis are the most common species by being recorded from 13, 12 and 9 localities, respectively. Among the 33 localities trapped, Kurtköy and Beldibi areas have highest number of rodent species by each having 7 species. Trap Night Index (TNI) was calculated to find the most caught rodent species, the overall trap success for rodents caught and the localities where the majority of rodent samples were caught. TNI was calculated as 21.43 for seven of the localities studied. Skull and pelage morphology (pectoral spot expressions, the posterior end of the palatal bone, pterygoid process, fronto-parietal suture and upper molar crown patterns) were used to identify Apodemus species. Morphological evaluations of Apodemus specimens verified the occurrence of A. sylvaticus in Asiatic Turkey.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"30 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122597378","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

The Detection of the Buried Pipes Using GPR in Utility Works: A Case Study 利用探地雷达探测公用事业埋地管道:以实例为例

International Journal of Environment and Geoinformatics Pub Date : 2022-12-11 DOI: 10.30897/ijegeo.1091852

Y. Yılmaz, Arzu Soycan

{"title":"The Detection of the Buried Pipes Using GPR in Utility Works: A Case Study","authors":"Y. Yılmaz, Arzu Soycan","doi":"10.30897/ijegeo.1091852","DOIUrl":"https://doi.org/10.30897/ijegeo.1091852","url":null,"abstract":"The increasing population and accordingly the new settlement ultimately need for the utility. Location and attribute information of utilities significantly affect the maintenance, repair and construction of utilities. The lack of such information causes accidents resulting in material and moral damages in utility excavations ‘especially in the city’. The lack of information on utility works in our country raises problems such as damage to another utility during the work, being unable to complete the work on time, affecting vehicle and pedestrian traffic. This study has focused on the detectability of utilities with unknown location and attribute (diameter) using a ground penetrating radar (GPR) based on simulation model and field surveys. An antenna frequency of 300 MHz was chosen in both applications. The analysis of the data obtained from the simulation model revealed positive results in terms of the usability of the GPR for the determination of location and attributes in utility works. Furthermore, the results of the field studies demonstrated that if the dielectric constants of a utility element and of its location are close, data on the utility cannot be obtained; if the trench base is narrow, it gives a hyperbola reflection like pipeline; and if it is not analyzed carefully, this pseudo- reflection may lead to mistakes. The field study shows that if there are no continuous hyperbola reflections on consecutive radargrams, the possibility that the reflection may not be due to pipeline should be considered.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"9 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132571358","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: 1

Creation of a Virtual Tour .Exe Utilizing Very High-Resolution RGB UAV Data 利用高分辨率RGB无人机数据创建虚拟旅行。exe

International Journal of Environment and Geoinformatics Pub Date : 2022-12-11 DOI: 10.30897/ijegeo.1102575

U. Sefercik, T. Kavzoglu, Mertcan Nazar, C. Atalay, M. Madak

{"title":"Creation of a Virtual Tour .Exe Utilizing Very High-Resolution RGB UAV Data","authors":"U. Sefercik, T. Kavzoglu, Mertcan Nazar, C. Atalay, M. Madak","doi":"10.30897/ijegeo.1102575","DOIUrl":"https://doi.org/10.30897/ijegeo.1102575","url":null,"abstract":"In the last decades, developments in game engine technology led to a raised attraction to the virtual reality (VR) and augmented reality (AR) concepts which offer users an interactive synthetic environment. Also, with the travel limitations of the current COVID-19 pandemic, VR tour applications that visualize the geospatial data gained popularity more than ever. In this study, a three-dimensional (3D) VR tour application was created for Gebze Technical University (GTU) Campus by integrating unmanned aerial vehicle (UAV) data into an artificial environment by using cross-platform game development engine Unity. For creating high-quality 3D models of the Campus, different imaging geometries and flight altitudes were applied. The aerial photos were achieved with a ground sampling distance (GSD) of ≤2.2 cm with a 20 megapixel (MP) Sony Exmor RGB camera. Point cloud processing and the generation of high-quality 3D products were carried out by structure from motion (SfM) based photogrammetric software Agisoft Metashape. Using 86 well-distributed ground control points (GCPs), geometric correction accuracy of ±2 cm (~0.9 pixels) was reached as root mean square error (RMSE). Generated 3D models were imported into the Unity environment and the negative influence of high polygon data on the application performance was reduced by applying occlusion culling and space subdivision rendering optimization algorithms. The visual potential of the VR was improved by adding 3D individual object models such as trees, benches and arbors. For enhancing the information content of the VR tour, interactive information panels including the building metadata such as building name, block name and total floor area were placed. Finally, a first-person player was implemented for a realistic VR experience.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123829867","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: 1

Wheat Yield Prediction with Machine Learning based on MODIS and Landsat NDVI Data at Field Scale 基于 MODIS 和 Landsat NDVI 数据的田间尺度机器学习小麦产量预测

International Journal of Environment and Geoinformatics Pub Date : 2022-12-11 DOI: 10.30897/ijegeo.1128985

M. Tuğaç, A. M. Özbayoğlu, Harun Torunlar, Erol Karakurt

{"title":"Wheat Yield Prediction with Machine Learning based on MODIS and Landsat NDVI Data at Field Scale","authors":"M. Tuğaç, A. M. Özbayoğlu, Harun Torunlar, Erol Karakurt","doi":"10.30897/ijegeo.1128985","DOIUrl":"https://doi.org/10.30897/ijegeo.1128985","url":null,"abstract":"Accurate estimation of wheat yield using Remote Sensing-based models is critical in determining the effects of agricultural drought and sustainable food planning. In this study, Winter wheat yield was estimated for large fields and producer fields by applying Normalized Difference Vegetation Index (NDVI) based linear models (simple linear regression and multiple linear regression) and Machine Learning (ML) techniques (support vector machine_svm, multilayer perceptron_mlp, random forest_rf). In this study, depending on the ecological zone, crop sampling was carried out from 380 rainfed parcels where wheat was planted. On the basis of crop development periods (CDP), the highest correlation between NDVI and yield occurred during the flowering period. In this period, coefficient of determination (R2) was 63% in TIGEM fields and 50% in producer fields for MODIS data, and 61% and 65% for Landsat data, respectively. In TIGEM fields, the best prediction performance was obtained with the MLP model for MODIS (RMSE:0.23-0.65 t/ha) and Landsat (RMSE: 0.28-0.64 t/ha). On the other hand, the highest forecasting accuracy was acquired with the SVM model in producer fields. The RMSE values ranged from 0.74 to 0.80 t/ha for MODIS and 0.51 to 0.60 t/ha for Landsat 8. The error value obtained with MODIS was approximately 1.4 times higher than the Landsat 8 data in producer fields. For yield estimation, the best estimation can be made 4-6 weeks before the harvest. In regional yield estimations, satellite-based ML techniques outperformed linear models. ML models have shown that it can play an important role in crop yield prediction. In crop yield estimation, it is a priority to consider the impact of climate change and ecological differences on crop development.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131013484","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

Marine Pollution Simulation and Comparative Intervention Procedures Based on Case Scenario 基于案例情景的海洋污染模拟与比较干预程序

International Journal of Environment and Geoinformatics Pub Date : 2022-12-11 DOI: 10.30897/ijegeo.1190762

Cihat Aşan

引用次数: 0

Geological and Geostatistical Modeling of Geogenic Radon Potential of Minarets in Muğla Province (SW Turkey) 土耳其西南部Muğla省宣塔地质氡势地质统计模拟

International Journal of Environment and Geoinformatics Pub Date : 2022-12-11 DOI: 10.30897/ijegeo.1122026

Mutlu Zeybek, Alican Kop

{"title":"Geological and Geostatistical Modeling of Geogenic Radon Potential of Minarets in Muğla Province (SW Turkey)","authors":"Mutlu Zeybek, Alican Kop","doi":"10.30897/ijegeo.1122026","DOIUrl":"https://doi.org/10.30897/ijegeo.1122026","url":null,"abstract":"Radon (222Rn), derived from the Uranium (238U) series and emitted from Geological Formation (soil, rock) (Qg), Fault (Qf) and Construction Material (Qm), which cannot be detected by the five senses, is an inert radioactive gas. Radon negatively affects people's health (such as lung cancer) as a result of excessive (>200 Bq/m3) accumulation in buildings. The aim of this study is to measure the radon emission concentrations of the components (Qg, Qf, Qm) that make up the Total Radon Gas Concentration (Qt) in the building (for the purpose of this study, mosque minarets) close to the fault or the possible fault in Muğla province (SW Turkey) and order their sizes. The Indoor Radon Concentration (IRC) of 841 minarets in Muğla province was measured with a portable RadonEye device (made in South Korea). At least 5 Soil Radon Concentration (SRC) measurements were made perpendicular to the fault lines near 14 minarets with a portable Markus 10 device (made in Sweden). About 10% of the 841 minarets were found to be above the European Indoor Radon Reference Value (EIRRV) (200 Bq/m3). When evaluated according to the 13 districts, it is seen that the district with the highest IRC in the 841 minarets is Marmaris (Çetibeli town, 2809 Bq/m3), and the district with the lowest is Ula (Armutçuk town, 217 Bq/m3). The highest IRC was measured inside a minaret made of volcanic rocks in the Marmaris district (Çetibeli town, 2809 Bq/m3). The lowest SRC was obtained in Datça district (Kızlan town, 5830 Bq/m3) where serpentinites outcropped, and the highest SRC was found in Bodrum district (Gürece town, 120000 Bq/m3) where volcanic rocks outcropped. It has been determined that there is a Qf>Qg>Qm relationship between the magnitudes of the factors (Qg, Qf, Qm) affecting Qt in the minarets close to the fault and possible faults. As a result, IRC measurements in all buildings where people live should be done periodically and regularly by the relevant institutions.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128434030","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