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1

Han, Xiongzhe, J. Alex Thomasson, G. Cody Bagnall, et al. "Measurement and Calibration of Plant-Height from Fixed-Wing UAV Images." Sensors 18, no. 12 (2018): 4092. http://dx.doi.org/10.3390/s18124092.

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Continuing population growth will result in increasing global demand for food and fiber for the foreseeable future. During the growing season, variability in the height of crops provides important information on plant health, growth, and response to environmental effects. This paper indicates the feasibility of using structure from motion (SfM) on images collected from 120 m above ground level (AGL) with a fixed-wing unmanned aerial vehicle (UAV) to estimate sorghum plant height with reasonable accuracy on a relatively large farm field. Correlations between UAV-based estimates and ground truth
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Myers, Emily, John Kerekes, Craig Daughtry, and Andrew Russ. "Assessing the Impact of Satellite Revisit Rate on Estimation of Corn Phenological Transition Timing through Shape Model Fitting." Remote Sensing 11, no. 21 (2019): 2558. http://dx.doi.org/10.3390/rs11212558.

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Agricultural monitoring is an important application of earth-observing satellite systems. In particular, image time-series data are often fit to functions called shape models that are used to derive phenological transition dates or predict yield. This paper aimed to investigate the impact of imaging frequency on model fitting and estimation of corn phenological transition timing. Images (PlanetScope 4-band surface reflectance) and in situ measurements (Soil Plant Analysis Development (SPAD) and leaf area index (LAI)) were collected over a corn field in the mid-Atlantic during the 2018 growing
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Pan, Feifei, Xiaohuan Xi, and Cheng Wang. "A Comparative Study of Water Indices and Image Classification Algorithms for Mapping Inland Surface Water Bodies Using Landsat Imagery." Remote Sensing 12, no. 10 (2020): 1611. http://dx.doi.org/10.3390/rs12101611.

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A comparative study of water indices and image classification algorithms for mapping inland water bodies using Landsat imagery was carried out through obtaining 24 high-resolution (≤5 m) and cloud-free images archived in Google Earth with the same (or ±1 day) acquisition dates as the Landsat-8 OLI images over 24 selected lakes across the globe, and developing a method to generate the alternate ground truth data from the Google Earth images for properly evaluating the Landsat image classification results. In addition to the commonly used green band-based water indices, Landsat-8 OLI’s ultra-blu
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Levitan, Nathaniel, and Barry Gross. "Utilizing Collocated Crop Growth Model Simulations to Train Agronomic Satellite Retrieval Algorithms." Remote Sensing 10, no. 12 (2018): 1968. http://dx.doi.org/10.3390/rs10121968.

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Due to its worldwide coverage and high revisit time, satellite-based remote sensing provides the ability to monitor in-season crop state variables and yields globally. In this study, we presented a novel approach to training agronomic satellite retrieval algorithms by utilizing collocated crop growth model simulations and solar-reflective satellite measurements. Specifically, we showed that bidirectional long short-term memory networks (BLSTMs) can be trained to predict the in-season state variables and yields of Agricultural Production Systems sIMulator (APSIM) maize crop growth model simulat
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Ashmitha Nihar, M., J. Mohammed Ahamed, S. Pazhanivelan, R. Kumaraperumal, and K. Ganesha Raj. "ESTIMATION OF COTTON AND MAIZE CROP AREA IN PERAMBALUR DISTRICT OF TAMIL NADU USING MULTI-DATE SENTINEL-1A SAR DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 67–71. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-67-2019.

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<p><strong>Abstract.</strong> Crop classification is a key issue for agricultural monitoring using remote sensing techniques. Synthetic Aperture Radar (SAR) data has an advantage in crop classification because of its all-weather imaging capabilities. The objective of this study was to investigate the capability of SAR data for estimation of cotton and maize area in Perambalur district of Tamil Nadu. The multi-temporal Sentinel-1 SAR data was acquired from 2nd September, 2017 to 24th January, 2018. Both the Vertical-Vertical (VV) and Vertical-Horizontal (VH) polarized data was
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Kumar, P., S. K. Rajpoot, V. Jain, S. Saxena, and S. S. Ray. "MONITORING OF RICE CROP IN PUNJAB AND HARYANA WITH RESPECT TO RESIDUE BURNING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 31–36. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-31-2019.

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<p><strong>Abstract.</strong> This study is based on the fortnightly monitoring of residue burning in fields of <i>kharif</i> rice crops after harvesting in Punjab and Haryana. The <i>kharif</i> rice area (2018–19) was derived using multi-date Sentinel-1A(Microwave SAR) data under FASAL project. The expected harvesting dates of <i>kharif</i> rice (crop duration 140 days) are derived on the basis of transplanting dates (derived from SAR data), NDVI profiles and Ground truth data. Daily active crop fire events in Punjab and Hary
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Garcia-Pedrero, Angel, Consuelo Gonzalo-Martin, Mario Lillo-Saavedra, and Dionisio Rodríguez-Esparragón. "The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation." Remote Sensing 10, no. 12 (2018): 1991. http://dx.doi.org/10.3390/rs10121991.

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The outlining of agricultural land is an important task for obtaining primary information used to create agricultural policies, estimate subsidies and agricultural insurance, and update agricultural geographical databases, among others. Most of the automatic and semi-automatic methods used for outlining agricultural plots using remotely sensed imagery are based on image segmentation. However, these approaches are usually sensitive to intra-plot variability and depend on the selection of the correct parameters, resulting in a poor performance due to the variability in the shape, size, and textu
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Guan, X., W. Qi, J. He, Q. Wen, T. Chen, and Z. Wang. "PURIFICATION OF TRAINING SAMPLES BASED ON SPECTRAL FEATURE AND SUPERPIXEL SEGMENTATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 425–30. http://dx.doi.org/10.5194/isprs-archives-xlii-3-425-2018.

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Remote sensing image classification is an effective way to extract information from large volumes of high-spatial resolution remote sensing images. Generally, supervised image classification relies on abundant and high-precision training data, which is often manually interpreted by human experts to provide ground truth for training and evaluating the performance of the classifier. Remote sensing enterprises accumulated lots of manually interpreted products from early lower-spatial resolution remote sensing images by executing their routine research and business programs. However, these manuall
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Pádua, Luís, Pedro Marques, Jonáš Hruška, et al. "Multi-Temporal Vineyard Monitoring through UAV-Based RGB Imagery." Remote Sensing 10, no. 12 (2018): 1907. http://dx.doi.org/10.3390/rs10121907.

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This study aimed to characterize vineyard vegetation thorough multi-temporal monitoring using a commercial low-cost rotary-wing unmanned aerial vehicle (UAV) equipped with a consumer-grade red/green/blue (RGB) sensor. Ground-truth data and UAV-based imagery were acquired on nine distinct dates, covering the most significant vegetative growing cycle until harvesting season, over two selected vineyard plots. The acquired UAV-based imagery underwent photogrammetric processing resulting, per flight, in an orthophoto mosaic, used for vegetation estimation. Digital elevation models were used to comp
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Wendleder, A., A. Heilig, A. Schmitt, and C. Mayer. "MONITORING OF WET SNOW AND ACCUMULATIONS AT HIGH ALPINE GLACIERS USING RADAR TECHNOLOGIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 30, 2015): 1063–68. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-1063-2015.

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Conventional studies to assess the annual mass balance for glaciers rely on single point observations in combination with model and interpolation approaches. Just recently, airborne and spaceborne data is used to support such mass balance determinations. Here, we present an approach to map temporal changes of the snow cover in glaciated regions of Tyrol, Austria, using SAR-based satellite data. Two dual-polarized SAR images are acquired on 22 and 24 September 2014. As X and C-band reveal different backscattering properties of snow, both TerraSAR-X and RADARSAT-2 images are analysed and compare
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Roemer, H., G. Kaiser, H. Sterr, and R. Ludwig. "Using remote sensing to assess tsunami-induced impacts on coastal forest ecosystems at the Andaman Sea coast of Thailand." Natural Hazards and Earth System Sciences 10, no. 4 (2010): 729–45. http://dx.doi.org/10.5194/nhess-10-729-2010.

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Abstract. The December 2004 tsunami strongly impacted coastal ecosystems along the Andaman Sea coast of Thailand. In this paper tsunami-induced damage of five different coastal forest ecosystems at the Phang-Nga province coast is analysed with a remote sensing driven approach based on multi-date IKONOS imagery. Two change detection algorithms, change vector analysis (CVA) and direct multi-date classification (DMC), are applied and compared regarding their applicability to assess tsunami impacts. The analysis shows that DMC outperforms CVA in terms of accuracy (Kappa values for DMC ranging betw
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Gaur, P., P. Tahlani, R. Tripathy, B. K. Bhattacharya, and S. S. Ray. "IDENTIFICATION OF RICE CROP PHENOLOGY USING SCATSAT-1 KU-BAND SCATTEROMETER IN PUNJAB AND HARYANA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 549–55. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-549-2019.

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<p><strong>Abstract.</strong> The present study was carried out to analyse rice crop phenology using SCATSAT-1 Scatterometer data. Owing to its higher frequency, Ku-band responds to the dormant elements of surface, corresponding to top of crop canopy. The Ku-band backscatter behaviour is influenced by the structure, moisture content and the roughness of the top canopy which varies with different crop stages. Rice growth undergoes three main phenological stages viz, maximum tillering giving a scattered rough surface (first peak); maximum vegetative stage with a smooth top appe
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de Bem, Pablo Pozzobon, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, Roberto Arnaldo Trancoso Gomes, and Renato Fontes Guimarães. "Performance Analysis of Deep Convolutional Autoencoders with Different Patch Sizes for Change Detection from Burnt Areas." Remote Sensing 12, no. 16 (2020): 2576. http://dx.doi.org/10.3390/rs12162576.

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Fire is one of the primary sources of damages to natural environments globally. Estimates show that approximately 4 million km2 of land burns yearly. Studies have shown that such estimates often underestimate the real extent of burnt land, which highlights the need to find better, state-of-the-art methods to detect and classify these areas. This study aimed to analyze the use of deep convolutional Autoencoders in the classification of burnt areas, considering different sample patch sizes. A simple Autoencoder and the U-Net and ResUnet architectures were evaluated. We collected Landsat 8 OLI+ d
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14

Trevisan, Rodrigo, Osvaldo Pérez, Nathan Schmitz, Brian Diers, and Nicolas Martin. "High-Throughput Phenotyping of Soybean Maturity Using Time Series UAV Imagery and Convolutional Neural Networks." Remote Sensing 12, no. 21 (2020): 3617. http://dx.doi.org/10.3390/rs12213617.

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Soybean maturity is a trait of critical importance for the development of new soybean cultivars, nevertheless, its characterization based on visual ratings has many challenges. Unmanned aerial vehicles (UAVs) imagery-based high-throughput phenotyping methodologies have been proposed as an alternative to the traditional visual ratings of pod senescence. However, the lack of scalable and accurate methods to extract the desired information from the images remains a significant bottleneck in breeding programs. The objective of this study was to develop an image-based high-throughput phenotyping sy
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15

Sus, O., M. W. Heuer, T. P. Meyers, and M. Williams. "A data assimilation framework for constraining upscaled cropland carbon flux seasonality and biometry with MODIS." Biogeosciences 10, no. 4 (2013): 2451–66. http://dx.doi.org/10.5194/bg-10-2451-2013.

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Abstract. Agroecosystem models are strongly dependent on information on land management patterns for regional applications. Land management practices play a major role in determining global yield variability, and add an anthropogenic signal to the observed seasonality of atmospheric CO2 concentrations. However, there is still little knowledge on spatial and temporal variability of important farmland activities such as crop sowing dates, and thus these remain rather crudely approximated within carbon cycle studies. In this study, we present a framework allowing for spatio-temporally resolved si
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Sus, O., M. W. Heuer, T. P. Meyers, and M. Williams. "A data assimilation framework for constraining upscaled cropland carbon flux seasonality and biometry with MODIS." Biogeosciences Discussions 9, no. 8 (2012): 11139–77. http://dx.doi.org/10.5194/bgd-9-11139-2012.

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Abstract. Agroecosystem models are strongly dependent on information on land management patterns for regional applications. Land management practices play a major role in determining global yield variability, and add an anthropogenic signal to the observed seasonality of atmospheric CO2 concentrations. However, there is still little knowledge on spatial and temporal variability of important farmland activities such as crop sowing dates, and thus these remain rather crudely approximated within carbon cycle studies. In this study, we present a framework allowing for spatio-temporally resolved si
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17

Azabdaftari, A., and F. Sunar. "SOIL SALINITY MAPPING USING MULTITEMPORAL LANDSAT DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 17, 2016): 3–9. http://dx.doi.org/10.5194/isprsarchives-xli-b7-3-2016.

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Soil salinity is one of the most important problems affecting many areas of the world. Saline soils present in agricultural areas reduce the annual yields of most crops. This research deals with the soil salinity mapping of Seyhan plate of Adana district in Turkey from the years 2009 to 2010, using remote sensing technology. In the analysis, multitemporal data acquired from LANDSAT 7-ETM<sup>+</sup> satellite in four different dates (19 April 2009, 12 October 2009, 21 March 2010, 31 October 2010) are used. As a first step, preprocessing of Landsat images is applied.
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Azabdaftari, A., and F. Sunar. "SOIL SALINITY MAPPING USING MULTITEMPORAL LANDSAT DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 17, 2016): 3–9. http://dx.doi.org/10.5194/isprs-archives-xli-b7-3-2016.

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Soil salinity is one of the most important problems affecting many areas of the world. Saline soils present in agricultural areas reduce the annual yields of most crops. This research deals with the soil salinity mapping of Seyhan plate of Adana district in Turkey from the years 2009 to 2010, using remote sensing technology. In the analysis, multitemporal data acquired from LANDSAT 7-ETM<sup>+</sup> satellite in four different dates (19 April 2009, 12 October 2009, 21 March 2010, 31 October 2010) are used. As a first step, preprocessing of Landsat images is applied. Several salinit
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Tiwari, S. K., and Prasada Rao G. "Multi-Temporal Synthetic Aperture Radar Data for Paddy Crop Area Estimation in Eastern part of Godavari Delta, Andhra Pradesh, India." Current Agriculture Research Journal 8, no. 3 (2020): 208–18. http://dx.doi.org/10.12944/carj.8.3.06.

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In the present study, an attempt is made to estimate the area under paddy crop during Rabi, 2013-14 using Microwave satellite data in the eastern part of Godavari delta. Clouds veil nearly the entire sky in both (Kharif & Rabi) seasons of Andhra Pradesh and hinder the estimation of crop acreage through optical satellite sensors. Microwaves can penetrate clouds and be used to detect crops during the day and night, regardless of cloud cover. Radar Imaging SATellite-1 (RISAT-1), microwave sensor, dual-polarization Horizontal-Horizontal (HH), Horizontal-Vertical (HV), Medium Resolution scanSAR
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Taillade, Thibault, Laetitia Thirion-Lefevre, and Régis Guinvarc’h. "Detecting Ephemeral Objects in SAR Time-Series Using Frozen Background-Based Change Detection." Remote Sensing 12, no. 11 (2020): 1720. http://dx.doi.org/10.3390/rs12111720.

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Change detection (CD) in SAR (Synthethic Aperture Radar) images has been widely studied in recent years and has become increasingly attractive due to the growth of available datasets. The potential of CD has been shown in different fields, including disaster monitoring and military applications. Access to multi-temporal SAR images of the same scene is now possible, and therefore we can improve the performance and the interpretation of CD. Apart from specific SAR campaign measurements, the ground truth of the scene is usually unknown or only partially known when dealing with open data. This is
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Revilla, Sergio, María Lamelas, Darío Domingo, et al. "Assessing the Potential of the DART Model to Discrete Return LiDAR Simulation—Application to Fuel Type Mapping." Remote Sensing 13, no. 3 (2021): 342. http://dx.doi.org/10.3390/rs13030342.

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Fuel type is one of the key factors for analyzing the potential of fire ignition and propagation in agricultural and forest environments. The increase of three-dimensional datasets provided by active sensors, such as LiDAR (Light Detection and Ranging), has improved the classification of fuel types through empirical modelling. Empirical methods are site and sensor specific while Radiative Transfer Models (RTM) approaches provide broader universality. The aim of this work is to analyze the suitability of Discrete Anisotropic Radiative Transfer (DART) model to replicate low density small-footpri
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De Giorgi, Andrea, David Solarna, Gabriele Moser, et al. "Monitoring the Recovery after 2016 Hurricane Matthew in Haiti via Markovian Multitemporal Region-Based Modeling." Remote Sensing 13, no. 17 (2021): 3509. http://dx.doi.org/10.3390/rs13173509.

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The aim of this paper is to address the monitoring of the recovery phase in the aftermath of Hurricane Matthew (28 September–10 October 2016) in the town of Jérémie, southwestern Haiti. This is accomplished via a novel change detection method that has been formulated, in a data fusion perspective, in terms of multitemporal supervised classification. The availability of very high resolution images provided by last-generation satellite synthetic aperture radar (SAR) and optical sensors makes this analysis promising from an application perspective and simultaneously challenging from a processing
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Moussa, Issaka, Christian Walter, Didier Michot, et al. "Soil Salinity Assessment in Irrigated Paddy Fields of the Niger Valley Using a Four-Year Time Series of Sentinel-2 Satellite Images." Remote Sensing 12, no. 20 (2020): 3399. http://dx.doi.org/10.3390/rs12203399.

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Salinization is a major soil degradation threat in irrigated systems worldwide. Irrigated systems in the Niger River basin are also affected by salinity, but its spatial distribution and intensity are not currently known. The aim of this study was to develop a method to detect salt-affected soils in irrigated systems. Two complementary approaches were tested: salinity assessment of bare soils using a salinity index (SI) and monitoring of indirect effects of salinity on rice growth using temporal series of a vegetation index (NDVI). The study area was located south of Niamey (Niger) in two irri
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Mejbel Salih, Muhammad, Oday Zakariya Jasim, Khalid I. Hassoon, and Aysar Jameel Abdalkadhum. "Land Surface Temperature Retrieval from LANDSAT-8 Thermal Infrared Sensor Data and Validation with Infrared Thermometer Camera." International Journal of Engineering & Technology 7, no. 4.20 (2018): 608. http://dx.doi.org/10.14419/ijet.v7i4.20.27402.

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This paper illustrates a proposed method for the retrieval of land surface temperature (LST) from the two thermal bands of the LANDSAT-8 data. LANDSAT-8, the latest satellite from Landsat series, launched on 11 February 2013, using LANDSAT-8 Operational Line Imager and Thermal Infrared Sensor (OLI & TIRS) satellite data. LANDSAT-8 medium spatial resolution multispectral imagery presents particular interest in extracting land cover, because of the fine spectral resolution, the radiometric quantization of 12 bits. In this search a trial has been made to estimate LST over Al-Hashimiya distric
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Mejbel Salih, Muhammad, Oday Zakariya Jasim, Khalid I. Hassoon, and Aysar Jameel Abdalkadhum. "Land Surface Temperature Retrieval from LANDSAT-8 Ther-mal Infrared Sensor Data and Validation with Infrared Ther-mometer Camera." International Journal of Engineering & Technology 7, no. 4.20 (2018): 601. http://dx.doi.org/10.14419/ijet.v7i4.20.27418.

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This paper illustrates a proposed method for the retrieval of land surface temperature (LST) from the two thermal bands of the LAND-SAT-8 data. LANDSAT-8, the latest satellite from Landsat series, launched on 11 February 2013, using LANDSAT-8 Operational Line Imager and Thermal Infrared Sensor (OLI & TIRS) satellite data. LANDSAT-8 medium spatial resolution multispectral imagery presents particular interest in extracting land cover, because of the fine spectral resolution, the radiometric quantization of 12 bits. In this search a trial has been made to estimate LST over Al-Hashimiya distri
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Fedorova, Elena. "CHURCH CALENDAR, GOSPEL AND LITURGICAL TEXT IN THE NOVEL THE RAW YOUTH AND A WRITER'S DIARY (1876) BY FYODOR DOSTOEVSKY." Проблемы исторической поэтики 19, no. 1 (2021): 258–82. http://dx.doi.org/10.15393/j9.art.2021.9182.

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F. M. Dostoevsky's novel The Raw Youth (1874-1875) and A Writer's Diary (1876) were created in the tradition of Christian calendar prose, which is aligned with sacred time. The two works are united by the idea of the religious transformation of personality, the salvation of the soul and unification around the Gospel Truth, the search for ideal foundations in the Russian people, and reflections on their purpose. Dostoevsky introduces Easter narratives into the novel and into A Writer's Diary in 1876: the story of Makar Dolgoruky about the merchant Skotoboinikov, the opera by Trishatov, the stor
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Ahmed, Akbar S. "Riot After Riot." American Journal of Islam and Society 5, no. 2 (1988): 285–87. http://dx.doi.org/10.35632/ajis.v5i2.2721.

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One of the great paradoxes of the modern world is that India, the land that produced such major world religions as Buddhism Jainism is now torn apart by caste and communal violence. Pakistan and Sri Lanka, like India, face severe ethnic problems. Law and order are to be emphasized. Caste and community must be protected by the executive branch of the Indian Government. This bas been laid down in the rules framed by the legislative branch. When this is not done there is a breakdown. No one is safe and no group is secure. In India today this is clearly the case. This book by M. J. Akbar is a coll
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de Castro, Ana, Johan Six, Richard Plant, and José Peña. "Mapping Crop Calendar Events and Phenology-Related Metrics at the Parcel Level by Object-Based Image Analysis (OBIA) of MODIS-NDVI Time-Series: A Case Study in Central California." Remote Sensing 10, no. 11 (2018): 1745. http://dx.doi.org/10.3390/rs10111745.

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Remote sensing technology allows monitoring the progress of vegetation and crop phenology in large regions. Seasonal vegetation trends are commonly estimated from high temporal resolution but coarse spatial resolution satellite imagery, e.g., from MODIS-NDVI (Moderate Resolution Imaging Spectroradiometer—Normalized Difference Vegetation Index) time-series, which has usually limited their application to scenarios with few land uses or crops covering areas larger than actual parcel sizes. As an alternative, this paper proposes a general and robust procedure to map crop phenology at the level of
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Dobos, Endre, B. Norman, and B. Worstell. "The Use of DEM and Satellite Data for Regional Scale Soil Databases." Agrokémia és Talajtan 51, no. 1-2 (2002): 263–72. http://dx.doi.org/10.1556/agrokem.51.2002.1-2.31.

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New, quantitative methods and data sources for characterizing small scale soil resources have been demonstrated. AVHRR and coarse spatial resolution DEM were designed for mapping large areas of the world quickly and cost effectively. The method combines digital elevation data, “ground truth” information, including the soil taxonomic class for measured soil locations, and a time series of satellite images to form a digital soil database. The results show that using ancillary information such as AVHRR data and DEM derivatives from the national to continental level surveys is among the most promi
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Agarwala, Susama, Howard Burkom, and Daniel Wernig. "Streamlined Development of Analytic Fusion Capability for Health Surveillance." Online Journal of Public Health Informatics 11, no. 1 (2019). http://dx.doi.org/10.5210/ojphi.v11i1.9720.

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ObjectiveOur project goal is to enhance the capability of automating health surveillance[MOU1] by US Department of Defense (DoD) epidemiologists. We employ software tools that build and train Bayesian networks (BNs) to facilitate the development of analytic fusion of multiple, disparate data sources comprising both syndromic and diagnostic data streams for rapid estimation of overall levels of concern for potential disease outbreaks. Working with previously developed heuristic BNs, we evaluate the ability of machine learning algorithms to detect outbreaks with greater accuracy. We use historic
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Darrell, Aaron. "Whose History?" M/C Journal 5, no. 2 (2002). http://dx.doi.org/10.5204/mcj.1954.

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The continual (re)development associated with urban spaces results in the demand that heritage spaces be preserved. This raises a number of questions to be considered such as: which spaces will be preserved, what stories will be associated with these, and how will the embodied experience of these spaces be mediated? Since Foucault, it has been accepted that knowledge, power and truth are inextricably interwoven. There are no golden sands of freedom, there is no transcendent truth free from composing discourses. The construction of truth and history as discursive practice has a strong spatial c
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McQuillan, Dan. "The Countercultural Potential of Citizen Science." M/C Journal 17, no. 6 (2014). http://dx.doi.org/10.5204/mcj.919.

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What is the countercultural potential of citizen science? As a participant in the wider citizen science movement, I can attest that contemporary citizen science initiatives rarely characterise themselves as countercultural. Rather, the goal of most citizen science projects is to be seen as producing orthodox scientific knowledge: the ethos is respectability rather than rebellion (NERC). I will suggest instead that there are resonances with the counterculture that emerged in the 1960s, most visibly through an emphasis on participatory experimentation and the principles of environmental sustaina
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Palmer, Daniel. "Nostalgia for the Future." M/C Journal 2, no. 9 (2000). http://dx.doi.org/10.5204/mcj.1818.

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Futuristic fiction almost by definition enters into a dialogue with the present as a future past. As a consequence, history haunts even the most inane visions of the future in often quite subtle ways. An excellent prompt to speculate on this issue is provided by Luc Besson's popular film The Fifth Element (1997). Like many science-fiction films, it is about a future troubled by its own promises. It almost goes without saying that while not specifically figured around Y2K, the attention to dates and time in the film combined with its late '90s release date also inscribe it within Millennial anx
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Aylward-Smith, Sean. "Where Does the Body End?" M/C Journal 2, no. 3 (1999). http://dx.doi.org/10.5204/mcj.1749.

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One of the problems working with and about technology is trying to define what exactly technology actually is. This seemingly straightforward, even banal question -- because, let's face it, we all know what technology is, don't we...? -- has caused philosophers since Aristotle no end of grief, and causes humble graduate students like myself unspeakable dilemmas. Attempting to define what technology is involves diving headlong into such murky problems as the subject/object dichotomy, the ontology of artefacts and the limits of the body -- that is, the very definition of humanity, if I may be so
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Lowes, Elanna Herbert. "Transgressive Women, Transworld Women." M/C Journal 8, no. 1 (2005). http://dx.doi.org/10.5204/mcj.2319.

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 This paper will discuss the way in which the creative component of my thesis Hannah’s Place uses a style of neo-historical fiction to find ‘good’ narratives in (once) ‘bad’ women, keeping with the theme, here paraphrased as:
 
 The work of any researcher in the humanities is to…challenge what is simply thought of as bad or good, to complicate essentialist categories and question passively accepted thinking. 
 
 
 As a way of expanding this statement, I would like to begin by considering the following quote from Barthes on the nature of research. I
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36

Sutherland, Thomas. "Counterculture, Capitalism, and the Constancy of Change." M/C Journal 17, no. 6 (2014). http://dx.doi.org/10.5204/mcj.891.

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In one of his final pieces of writing, Timothy Leary—one of the most singularly iconic and influential figures of the 1960s counterculture, known especially for his advocacy of a “molecular revolution” premised upon hallucinogenic self-medication—proposes that [c]ounterculture blooms wherever and whenever a few members of a society choose lifestyles, artistic expressions, and ways of thinking and being that wholeheartedly embrace the ancient axiom that the only true constant is change itself. The mark of counterculture is not a particular social form or structure, but rather the evanescence of
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