International Journal of Remote Sensing Applications最新文献

Estimation and Mapping of Carbon Stocks in Bosomkese Forest Reserve 博松克斯森林保护区碳储量估算与制图

International Journal of Remote Sensing Applications Pub Date : 2016-11-21 DOI: 10.14355/IJRSA.2016.06.005

E. Donkor, E. M. O. Jnr., B. Prah, A. S. Amoah, M. Yakubu

引用次数: 7

Sugarcane Water Productivity Assessments in the São Paulo state, Brazil. 巴西圣保罗州甘蔗水分生产力评估。

International Journal of Remote Sensing Applications Pub Date : 2016-07-07 DOI: 10.14355/IJRSA.2016.06.009

A. Teixeira, J. Leivas, C. C. Ronquim, D. Victoria

{"title":"Sugarcane Water Productivity Assessments in the São Paulo state, Brazil.","authors":"A. Teixeira, J. Leivas, C. C. Ronquim, D. Victoria","doi":"10.14355/IJRSA.2016.06.009","DOIUrl":"https://doi.org/10.14355/IJRSA.2016.06.009","url":null,"abstract":"Sao Paulo state, Brazil, has been highlighted by the sugarcane crop expansion. The actual scenario of climate and land use changes, bring attention for the large-scale water productivity (WP) analyses. MODIS images were used together with gridded weather data for these analyses. A generalized sugarcane growing cycle inside a crop land mask, from September 2011 to October 2012, was considered in the main growing regions of the state. Actual evapotranspiration (ET) is quantified by the SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm, the biomass production (BIO) by the RUE (Radiation Use Efficiency) Monteith?s model and WP is considered as the ratio of BIO to ET. During the four generalized sugarcane crop phases, the mean ET values ranged from 0.6 to 4.0 mm day-1; BIO rates were between 20 and 200 kg ha-1 day-1, resulting in WP ranging from 2.8 to 6.0 kg m-3. Soil moisture indicators are applied, indicating benefits from supplementary irrigation during the grand growth phase, wherever there is water availability for this practice. The quantification of the large-scale water variables may subsidize the rational water resources management under the sugarcane expansion and water scarcity scenarios.","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134408793","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: 19

Remote Sensing Application in Forest Monitoring: An Object Based Approach 遥感在森林监测中的应用:一种基于物的方法

International Journal of Remote Sensing Applications Pub Date : 2016-03-01 DOI: 10.14355/IJRSA.2016.06.013

Bao Tran Quang, H. Thi

{"title":"Remote Sensing Application in Forest Monitoring: An Object Based Approach","authors":"Bao Tran Quang, H. Thi","doi":"10.14355/IJRSA.2016.06.013","DOIUrl":"https://doi.org/10.14355/IJRSA.2016.06.013","url":null,"abstract":"The objective of this study was to establish forest map in 2015 using object-based classification technique in SPOT 6 image and analyze land use/land cover changes in landscape of Yen Nhan commune, ThanhHoa province in Vietnam over a period of 15 yeas (2000-2015). Object-based methods allow integration of different object features, such as spectral values, shape, and texture. One of its strength is the ability to combine spectral information and spatial information for extracting target objects. Few studies have explored the application of object-based approaches to classify forest. This paper introduced an object based method to SPOT6 image to map the land cover in Yen Nhan commune in 2015. This approach applied multi-resolution segmentation algorithm of eCognition Developer and an object based classification framework. In addition, existed forest maps from 2000 to 2015 were used to analyze the change in forest cover in each 5 years period. The object based method clearly discriminated the different land cover classes in Yen Nhan. The overall kappa value 0.73 was achieved. The estimation of forest area was 89.05 % of total area in 2015. By overlaying achieve forest maps of 2000, 2005, 2010, the classified map of 2015 showed vegetation changed remarkably during 2000-2015.","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133987038","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

Search and Rescue Operations with an Unmanned Helicopter 无人直升机搜救行动

International Journal of Remote Sensing Applications Pub Date : 2016-03-01 DOI: 10.14355/IJRSA.2016.06.007

M. Wing, Jonathan D. Burnett, J. Brungardt, D. Dobler, V. Cordell, J. Sessions

{"title":"Search and Rescue Operations with an Unmanned Helicopter","authors":"M. Wing, Jonathan D. Burnett, J. Brungardt, D. Dobler, V. Cordell, J. Sessions","doi":"10.14355/IJRSA.2016.06.007","DOIUrl":"https://doi.org/10.14355/IJRSA.2016.06.007","url":null,"abstract":"We tested the performance of both electro-optical (EO) and long-wave infrared (LWIR) video sensors on an unmanned helicopter in a simulated Search and Rescue (SAR) setting. Our objectives were to examine whether humans and other objects associated with (SAR) operations could be reliably observed in the video sensor imagery in direct light and shade. Our unmanned helicopter flight occurred in a forest in the U.S. Pacific Northwest under a Certificate of Authorization (COA) issued by the Federal Aviation Association (FAA). Analysis of the EO and LWIR video imagery from several hover positions determined that many of the SAR objects could be reliably detected. Detection success was heavily influenced by factors such as distance, object size, material and color. In direct sun light, the EO sensor performed more reliably than the LWIR sensor in detecting most objects. The LWIR sensor, however, appeared to be preferable to the EO sensor when tracking human subjects in shady environments. We believe unmanned aircraft can offer SAR operations flexibility in reaching areas that might endanger manned flight crews. In addition, unmanned aircraft also have the capability to fly closer to the ground, and at slower speeds than some manned aircraft, which potentially leads to greater image resolution and ultimately increases detection success.","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128046417","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

Error Analyses of the Sea Ice Draft Retrieval from Upward Looking Sonar 仰视声呐反演海冰吃水的误差分析

International Journal of Remote Sensing Applications Pub Date : 2014-12-01 DOI: 10.14355/IJRSA.2014.0404.01

V. Djepa

{"title":"Error Analyses of the Sea Ice Draft Retrieval from Upward Looking Sonar","authors":"V. Djepa","doi":"10.14355/IJRSA.2014.0404.01","DOIUrl":"https://doi.org/10.14355/IJRSA.2014.0404.01","url":null,"abstract":"Sea Ice Draft (SID) has been recorded in the last 40 years from Upload looking Sonar (ULS) on submarines, but not all data are error corrected. Error corrected SID with uncertainties is required for validation of climate models, satellite observations and for assessment of the seasonal and annual SID change due to climate impact. The aim of this study is to analyse the uncertainties of the SID, derived from ULS and develop algorithms for error correction and validation of the retrieved SID from ULS. The uncertainties of the retrieved SID (from ULS on submarine) are analysed. Algorithms for error correction of SID with open water offset and beam width impact are developed and applied to correct SID, retrieved from ULS in the Beaufort Sea in 2007. A bias correction function of raw SID data is provided. The comparison of SID from ULS with collocated SID derived from Radar Altimeter (RA2/Envisat) demonstrated improved biases and correlation coefficient, which confirms the accuracy of the bias-corrected SID. Error corrected SID, derived from ULS, has been applied to validate an algorithm for SID retrieval from RA, using variable ice density. Algorithm for retrieval of sea ice density from the sea ice freeboard, derived from RA, is developed and results of retrieved sea ice density in Beaufort Sea are shown. The developed error correction algorithms of SID, retrieved from ULS, have global application for correction of SID, which are not yet error corrected. Error corrected SID and the derived sea ice densities are essential climate variables (ECV) important for improved climate forecast and validation of satellite observations. European Space Agency (ESA), National Snow and Ice Data centre (NSIDC), climate change and numerical prediction programs will benefit the results of this paper.","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117345147","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

Wide-Angle High Resolution SAR Imaging and Robust Automatic Target Recognition of Civilian Vehicles 广角高分辨率SAR成像与民用车辆鲁棒自动目标识别

International Journal of Remote Sensing Applications Pub Date : 2014-12-01 DOI: 10.14355/IJRSA.2014.0404.02

Deoksu Lim, Luzhou Xu, Yijun Sun, Jian Li

引用次数: 5

Spatial Estimation of Wheat Yields from Landsat’s Visible, near Infrared and Thermal Reflectance Bands 基于Landsat可见光、近红外和热反射波段的小麦产量空间估算

International Journal of Remote Sensing Applications Pub Date : 2014-09-01 DOI: 10.14355/IJRSA.2014.0403.03

A. Potgieter, B. Power, J. Mclean, Peter Davis, D. Rodríguez

引用次数: 7

Vegetation activity in the upper Oueme basin (Benin, Africa) studied from SPOT-VGT (2002-2012) according to land cover 基于土地覆盖的SPOT-VGT 2002-2012年非洲贝宁上Oueme盆地植被活动研究

International Journal of Remote Sensing Applications Pub Date : 2014-09-01 DOI: 10.14355/IJRSA.2014.0403.02

T. Do, S. Bigot, S. Galle

引用次数: 5

A Low-cost Unmanned Aerial System for Remote Sensing of Forested Landscapes 一种低成本的森林景观遥感无人机系统

International Journal of Remote Sensing Applications Pub Date : 2014-09-01 DOI: 10.14355/IJRSA.2014.0403.01

M. Wing, Jonathan D. Burnett, Steven B. Johnson, A. Akay, J. Sessions

引用次数: 16

Pedestrian Safety Modelling and Analysis Using GIS in Chennai 基于GIS的金奈行人安全建模与分析

International Journal of Remote Sensing Applications Pub Date : 2014-06-04 DOI: 10.14355/IJRSA.2014.0402.03

Rohith P. Poyil, A. Misra, R. Murugasan

{"title":"Pedestrian Safety Modelling and Analysis Using GIS in Chennai","authors":"Rohith P. Poyil, A. Misra, R. Murugasan","doi":"10.14355/IJRSA.2014.0402.03","DOIUrl":"https://doi.org/10.14355/IJRSA.2014.0402.03","url":null,"abstract":"This paper analyzes the various variables affecting pedestrian road crashes, placing emphasis on the effect of daily activity patterns and the built environment, including the land use of the places. Study also develops a level of safety model in terms of number of pedestrian accidents in Chennai. First, eleven potential factors influencing pedestrian level of safety are summarized: width of road, width of sidewalk, average running speed of vehicles, vehicular volume, pedestrian volume, percentage of sidewalk area encroached, presence of crossing facilities, sight distance, pedestrian refuge and median, lightings and curb. The selected roads are typical of those prevalent in urban areas of Chennai. With the survey data, a stepwise regression analyses are carried out to develop a reliable pedestrian level of safety model for road segments, suitable for use in the vast majority of Indian urban areas. The study reveals that the factors significantly influencing pedestrian level of safety at road segments including width of sidewalk, average running speed of vehicles, percentage of sidewalk area encroached, presence of pedestrian refuge and median, lightings and curb. A model to predict the pedestrian safety level in terms of number of pedestrian accidents is developed in this study using regression analysis and integrated with GIS to produce a colour coded maps showing the predicted number of pedestrian accidents. The validation has been done by comparing the predicted number of pedestrian accidents with actual number of pedestrian accidents occurred.","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123396182","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: 2