首页期刊导航|International journal of applied earth observation and geoinformation
期刊信息/Journal information
International journal of applied earth observation and geoinformation
International Institute for Aerospace Survey and Earth Sciences
International Institute for Aerospace Survey and Earth Sciences
1569-8432
International journal of applied earth observation and geoinformation/Journal International journal of applied earth observation and geoinformationISTPSCIAHCI
Hunt, Merryn L.Blackburn, George AlanRowland, Clare S.
12页
查看更多>>摘要：Sustainable intensification (SI) has been proposed as a possible solution to the conflicting problems of meeting projected increases in food demand and preserving environmental quality. SI would provide necessary production increases while simultaneously reducing or eliminating environmental degradation, without taking land from competing demands. An important component of achieving these aims is the development of suitable methods for assessing the temporal variability of both the intensification and sustainability of agriculture. Current assessments rely on traditional data collection methods that produce data of limited spatial and temporal resolution. Earth Observation (EO) provides a readily accessible, long-term dataset with global coverage at various spatial and temporal resolutions. In this paper we demonstrate how EO could significantly contribute to SI assessments, providing opportunities to quantify agricultural intensity and environmental sustainability. We review an extensive body of research on EO-based methods to assess multiple indicators of both agricultural intensity and environmental sustainability. To date these techniques have not been combined to assess SI; here we identify the opportunities and initial steps required to achieve this. In this context, we propose the development of a set of essential sustainable intensification variables (ESIVs) that could be derived from EO data.
查看更多>>摘要：Geology majorly deals with the structures, features, minerals, rocks, etc. of the planet Earth. Geologists are using the technology of remote sensing for structural interpretation and regional mapping. Ores and minerals identification are also done with the help of remote sensing. This paper is mainly focused on the identification of minerals and mapping with the help of various algorithms such as Spectral Angle Mapper (SAM), Spectral Feature Fitting (SFF) and Mixture Tuned Matched Filtering (MTMF) using airborne hyperspectral data. Minerals are identified on the basis of the visible and near-infrared spectral reflectance. Spectral reflectance is having absorption features at different positions and absorption peaks are used for the analysis of imagery. This technique provides surface mineralogical details. SAM algorithm mainly computes the angle between the unknown pixel spectrum and unique pixel spectrum. SFF algorithm matched the continuum removed the spectrum of the imagery pixel from the continuum removed reference spectra. MTMF algorithm detects the abundance of the minerals and removes the erroneous positive. Total 13 endmembers (minerals) were identified in the study area. These minerals are grouped into clay minerals, iron minerals, carbonate minerals, and other minerals. These endmembers are used for the mineral map creation from different algorithms. Algorithms produce the diverse kind of mineral map and these are compared with each other on the basis of the mineralogy and discrimination of mineralized region from settlements. Mineral map produced by MTMF algorithm provides convenient results with better accuracy than other algorithms.
查看更多>>摘要：Spatial extent (i.e. the size of the study area) is acknowledged as an important component of scale, together with grain (i.e. cell size). While the influence of grain on multiresolution segmentation has been evaluated, the impact of spatial extent is still poorly understood. The main goal of our study was to evaluate how changing the extent affects multiresolution segmentation, in respect to the geometric accuracy of the resulting image objects.
Maciel, Gabriel Mascarenhasde Araujo Gallis, Rodrigo BezerraBarbosa, Ricardo LuisPereira, Lucas Medeiros...
7页
查看更多>>摘要：Developing biofortified foods is a goal of genetic breeding programs. However, analysis costs and the time required for leaf sampling in the field are hindrances to this process. The objectives of this study were to evaluate the genetic diversity in red leaf lettuce germplasm and to evaluate the use of image phenotyping for the identification of carotenoid-rich genotypes. The experiment was carried out in 2018 at the Vegetable Experiment Station of the Federal University of Uberandia-Monte Carmelo campus. Thirty inbred lines of red leaf lettuce were evaluated. All inbred lines resulted from the hybridization of the Belissima and Uberrandia 10000 cultivars and six successive selfings, carried out from 2013 to 2017. The genealogical method or pedigree is a working procedure used by plant breeders working with plant species whose reproductive system is autogamous and presenting cleistogamy. This method was used to obtain the treatments of the experiment. The cultivar Belissima (red lettuce) was used as a control, totaling 31 treatments. A conventional method and an aerial image phenotyping using Phantom 4 unmanned aerial vehicle (UAV) were used to evaluate six different agronomic characteristics and carotenoid levels of each treatment. The results showed substantial genetic diversity within the germplasm bank. Furthermore, high performance image phenotyping was highly correlated with the traditional methodology (r = -0.8732, coefficient of determination = 76.25%) and can therefore be considered an alternative for identifying different genetic backgrounds within a germplasm bank. Unmanned aerial vehicle (UAV) might also be used to monitor biofortification levels in crops.
查看更多>>摘要：We present a procedure for assessing the urban exposure and seismic vulnerability that integrates LiDAR data with aerial images from the Spanish National Plan of Aerial Orthophotography (PNOA). It comprises three phases: first, we segment the satellite image to divide the study area into different urban patterns. Second, we extract building footprints and attributes that represent the type of building of each urban pattern. Finally, we assign the seismic vulnerability to each building using different machine-learning techniques: Decision trees, SVM, logistic regression and Bayesian networks.
查看更多>>摘要：Airborne laser scanning (ALS) is considered as the most accurate remote sensing data for the predictive modelling of AGB. However, tropical landscapes experiencing land use changes are typically heterogeneous mosaics of various land cover types with high tree species richness and trees outside forests, making them challenging environments even for ALS. Therefore, combining ALS data with other remote sensing data, or stratification by land cover type could be particularly beneficial in terms of modelling accuracy in such landscapes. Our objective was to test if spectral-temporal metrics from the Landsat time series (LTS), simultaneously acquired hyperspectral (HS) data, or stratification to the forest and non-forest classes improves accuracy of the AGB modelling across an Afromontane landscape in Kenya. The combination of ALS and HS data improved the cross-validated RMSE from 51.5 Mg ha(-1) (42.7%) to 47.7 Mg ha(-1) (39.5%) in comparison to the use of ALS data only. Furthermore, the combination of ALS data with LTS and HS data improved accuracies of the models for the forest and non-forest classes, and the overall best results were achieved when using ALS and HS data with stratification (RMSE 40.0 Mg ha(-1), 33.1%). We conclude that ALS data alone provides robust models for AGB mapping across tropical mosaic landscapes, even without stratification. However, ALS and HS data together, and additional forest classification for stratification, can improve modelling accuracy considerably in similar, tree species rich areas.
查看更多>>摘要：The Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields (VCF) tree cover (MOD44B) is an annual product that depicts the fractional coverage of trees on the earth's terrestrial surface at 250m resolution. It has to be noted that the training data of this product is limited to trees above 5 m in height. However, this product has been widely applied in savanna ecosystems where many woody plant species seldom reach 5 m tall. Though the short woody plants in savanna ecosystems could have been reflected in this product due to similar spectral implication as that of tall trees, its applicability has never been rigorously tested. Given so, this study aims to fill this void. It was tested in Texas savanna, which is featured by a wide precipitation gradient and an accompanying woody plant cover gradation. Firstly, we assessed the ability of the MODIS tree cover product in reflecting woody plant cover at pixel level. A per-pixel comparison was conducted between the tree cover values and reference measurement of woody plant cover based on 1-m resolution digital orthophotos. Secondly, we assessed the ability of this tree cover product in reflecting savanna landscape pattern, particularly the potential woody cover pattern over the precipitation gradient in Texas savanna. The MODIS tree cover product based potential woody cover pattern was assessed against the reference pattern of the study area. Thirdly, we assessed the year-to-year consistency of this annual product, under the assumption that tree cover changes very little within one-year period. Reduced major axis regression was conducted between the corresponding tree cover pixels of all successive years from 2000 to 2016. Research results suggest that the MODIS tree cover product has great potential in reflecting woody plant cover at pixel level by empirical calibration. Moreover, this tree cover product demonstrates the ability of revealing the increasing trend of potential woody cover with mean annual precipitation (MAP) across Texas savanna. Furthermore, the lack of temporal consistency is revealed for this annual product. It is worth noting that the potential woody cover pattern endowed by the precipitation gradient in Texas savanna is in a three-segment shape.
查看更多>>摘要：The taiga-tundra ecotone (TTE) extends over 13.400 km around the northern hemisphere and marks the transition zone between taiga and tundra. Since this area is vulnerable to climate change, human activities and natural disturbances such as wildfires, monitoring of this region is extremely important. Dealing with the characterization of this transition zone, very few studies are available on a global scale. Existing approaches lack the thorough characterization of the ecotone as they capture just a part of the complex transition zone.
NSTL
Elsevier