TY - GEN A1 - Coesfeld, Jacqueline A1 - Anderson, Sharolyn J. A1 - Baugh, Kimberly A1 - Elvidge, Christopher D. A1 - Schernthanner, Harald A1 - Kyba, Christopher C. M. T1 - Variation of individual location radiance in VIIRS DNB monthly composite images T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - With the growing size and use of night light time series from the Visible Infrared Imaging Radiometer Suite Day/Night Band (DNB), it is important to understand the stability of the dataset. All satellites observe differences in pixel values during repeat observations. In the case of night light data, these changes can be due to both environmental effects and changes in light emission. Here we examine the stability of individual locations of particular large scale light sources (e.g., airports and prisons) in the monthly composites of DNB data from April 2012 to September 2017. The radiances for individual pixels of most large light emitters are approximately normally distributed, with a standard deviation of typically 15-20% of the mean. Greenhouses and flares, however, are not stable sources. We observe geospatial autocorrelation in the monthly variations for nearby sites, while the correlation for sites separated by large distances is small. This suggests that local factors contribute most to the variation in the pixel radiances and furthermore that averaging radiances over large areas will reduce the total variation. A better understanding of the causes of temporal variation would improve the sensitivity of DNB to lighting changes. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1113 KW - artificial light at night KW - light pollution KW - night lights KW - VIIRS DNB Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-472326 SN - 1866-8372 IS - 1113 ER - TY - JOUR A1 - Coesfeld, Jacqueline A1 - Anderson, Sharolyn J. A1 - Baugh, Kimberly A1 - Elvidge, Christopher D. A1 - Schernthanner, Harald A1 - Kyba, Christopher C. M. T1 - Variation of Individual Location Radiance in VIIRS DNB Monthly Composite Images JF - Remote sensing N2 - With the growing size and use of night light time series from the Visible Infrared Imaging Radiometer Suite Day/Night Band (DNB), it is important to understand the stability of the dataset. All satellites observe differences in pixel values during repeat observations. In the case of night light data, these changes can be due to both environmental effects and changes in light emission. Here we examine the stability of individual locations of particular large scale light sources (e.g., airports and prisons) in the monthly composites of DNB data from April 2012 to September 2017. The radiances for individual pixels of most large light emitters are approximately normally distributed, with a standard deviation of typically 15-20% of the mean. Greenhouses and flares, however, are not stable sources. We observe geospatial autocorrelation in the monthly variations for nearby sites, while the correlation for sites separated by large distances is small. This suggests that local factors contribute most to the variation in the pixel radiances and furthermore that averaging radiances over large areas will reduce the total variation. A better understanding of the causes of temporal variation would improve the sensitivity of DNB to lighting changes. KW - artificial light at night KW - light pollution KW - night lights KW - VIIRS DNB Y1 - 2018 U6 - https://doi.org/10.3390/rs10121964 SN - 2072-4292 VL - 10 IS - 12 PB - MDPI CY - Basel ER - TY - JOUR A1 - Cardenas, Aura A1 - Moliner, Ana A1 - Hontoria, Chiquinquira A1 - Schernthanner, Harald T1 - Analysis of land-use/land-cover changes in a livestock landscape dominated by traditional silvopastoral systems BT - a methodological approach JF - International Journal of Remote Sensing N2 - Remote sensing, which is a common method to examine land-use/land-cover (LULC) changes, could be useful in the analysis of livestock ecosystem transformations. In the last two decades, before Landsat images were free, developing countries could not afford monitoring through remote sensing because of the high cost of acquiring satellite imagery and commercial software. However, Landsat time series nowadays allows the characterization of changes in vegetation across large areas over time. The aim of this study is to analyse the LULC changes affecting forest frontiers and traditional silvopastoral systems (TSPS) in a representative livestock area of Nicaragua. Nearly cloud-free Landsat scenes - a Landsat 5 Thematic Mapper (TM) scene from 1986 and a Landsat 8 Operational Land Imager (OLI) scene from 2015 - have been the data sets used in the study. A process chain following a four-step definition of the remote-sensing process was conceptually developed and implemented based onfree open source software components and by applying the random forest (RF) algorithm. A conceptual LULC classification scheme representing TSPS was developed. Although the imagery shows a heterogeneous surface cover and mixed pixels, it is possible to achieve promising classification results with the RF algorithm with out-of-the-bag (OOB) errors below 13% for both images along with an overall accuracy level of 85.9% for the 2015 subset and 85.2% for the 1986 subset. The classification shows that from 1986 to 2015 (29years) the intervened secondary forest (ISF) increased 2.6 times, whereas the degraded pastures decreased by 34.5%. The livestock landscape in Matiguas is in a state of constant transformation, but the main changes head towards the positive direction of tree-cover recovery and an increased number of areas of natural regeneration. Y1 - 2018 U6 - https://doi.org/10.1080/01431161.2018.1463116 SN - 0143-1161 SN - 1366-5901 VL - 39 IS - 14 SP - 4684 EP - 4698 PB - Routledge, Taylor & Francis Group CY - Abingdon ER - TY - JOUR A1 - Schernthanner, Harald A1 - Asche, Hartmut A1 - Gonschorek, Julia A1 - Scheele, Lasse T1 - Spatial Modeling and Geovisualization of Rental Prices for Real Estate portals JF - International journal of agricultural and environmental information systems : an official publication of the Information Resources Management Association KW - Geoinformation Science KW - Geostatistics KW - Geo-Visualisation KW - Real Estate Portal KW - Rental Prize KW - Spatial Modeling Y1 - 2017 U6 - https://doi.org/10.4018/IJAEIS.2017040106 SN - 1947-3192 SN - 1947-3206 VL - 8 SP - 78 EP - 91 PB - IGI Global CY - Hershey ER -