Zobrazeno 1 - 10
of 23
pro vyhledávání: '"K Steenkamp"'
Publikováno v:
Remote Sensing; Volume 11; Issue 22; Pages: 2633
Remote Sensing, Vol 11, Iss 22, p 2633 (2019)
Remote Sensing, Vol 11, Iss 22, p 2633 (2019)
Namibia is a very arid country, which has experienced significant bush encroachment and associated decreased livestock productivity. Therefore, it is essential to monitor bush encroachment and widespread debushing activities, including selective bush
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bcd795f227c6a8e9f2e425308aab246
Autor:
K Steenkamp, F. van den Bergh, Jan C. Olivier, Konrad J Wessels, Waldo Kleynhans, Brian P. Salmon
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 4:327-335
An automated land cover change detection method is proposed that uses coarse spatial resolution hyper-temporal earth observation satellite time series data. The study compared three different unsupervised clustering approaches that operate on short t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0174de188bc59d77d8cc41af80bd14a4
https://doi.org/10.1109/jstars.2010.2053918
https://doi.org/10.1109/jstars.2010.2053918
Autor:
Waldo Kleynhans, Jan C. Olivier, K Steenkamp, F. van den Bergh, Brian P. Salmon, Konrad J Wessels
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 8:507-511
A method for detecting land cover change using NDVI time-series data derived from 500-m MODIS satellite data is proposed. The algorithm acts as a per-pixel change alarm and takes the NDVI time series of a 3 × 3 grid of MODIS pixels as the input. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::687a047854b02e60c9d03a2e1fcbc6be
https://doi.org/10.1109/lgrs.2010.2089495
https://doi.org/10.1109/lgrs.2010.2089495
Publikováno v:
Applied Vegetation Science. 14:49-66
Questions: What are the patterns of remotely sensed vegetation phenology, including their inter-annual variability, across South Africa? What are the phenological attributes that contribute most to distinguishing the different biomes? How well can th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab6cf55b0842db2404de47e38fc93df5
https://doi.org/10.1111/j.1654-109x.2010.01100.x
https://doi.org/10.1111/j.1654-109x.2010.01100.x
Improving Land Cover Class Separation Using an Extended Kalman Filter on MODIS NDVI Time-Series Data
Autor:
Konrad J Wessels, Waldo Kleynhans, Frans van den Bergh, K Steenkamp, Brian P. Salmon, Jan C. Olivier
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 7:381-385
It is proposed that the normalized difference vegetation index time series derived from Moderate Resolution Imaging Spectroradiometer satellite data can be modeled as a triply (mean, phase, and amplitude) modulated cosine function. Second, a nonlinea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24b3d6e0186e09dd3f21ceccb622dbff
https://doi.org/10.1109/lgrs.2009.2036578
https://doi.org/10.1109/lgrs.2009.2036578
Autor:
Sally Archibald, Konrad J Wessels, Joel Ongego Botai, K Steenkamp, Philip Frost, Philemon Lehlohonolo Tsela, Derick Swanepoel
Publikováno v:
Remote Sensing; Volume 6; Issue 2; Pages: 1275-1293
Remote Sensing, Vol 6, Iss 2, Pp 1275-1293 (2014)
Remote Sensing, Vol 6, Iss 2, Pp 1275-1293 (2014)
The 500-m Moderate Resolution Imaging Spectroradiometer (MODIS) burned area products, MCD45A1, MCD64A1, and a merged product were validated across six study sites in South Africa using independently-derived Landsat burned-area reference data during t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::242ceaac9fdb85feddb1bccb178f4e32
Autor:
Waldo Kleynhans, F. van den Bergh, Konrad J Wessels, Derick Swanepoel, David P. Roy, Brian P. Salmon, V. Kovalskyy, K Steenkamp
Publikováno v:
IGARSS
This study investigated the automated pre-processing and land cover classification of Landsat data. The Web-enabled Landsat Data (WELD) system was used to process large volumes of Landsat imagery to calibrated top of atmosphere reflectance and bright
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d6737bd6f20264e28c569de44e50272
https://doi.org/10.1109/igarss.2013.6723785
https://doi.org/10.1109/igarss.2013.6723785
Autor:
Derick Swanepoel, Konrad J Wessels, Bryan MacAlister, Debbie Jewitt, Frans van den Bergh, K Steenkamp, David P. Roy, Brian P. Salmon
Publikováno v:
Remote Sensing, Vol 8, Iss 11, p 888 (2016)
Remote Sensing
Volume 8
Issue 11
Pages: 888
Remote Sensing
Volume 8
Issue 11
Pages: 888
The paper evaluated the Landsat Automated Land Cover Update Mapping (LALCUM) system designed to rapidly update a land cover map to a desired nominal year using a pre-existing reference land cover map. The system uses the Iteratively Reweighted Multiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ebe8bbdb237f517479e033d708b25bb
https://doi.org/10.3390/rs8110888
https://doi.org/10.3390/rs8110888
Autor:
Graeme McFerren, Derick Swanepoel, Cheewai Lai, Philip Frost, Konrad J Wessels, F. van den Bergh, K Steenkamp
Publikováno v:
IGARSS
A new quantitative method of evaluating fire danger index (FDI) performance is proposed, relying on a combination of modelled meteorological data and fire activity data obtained from earth observation satellites. The method simultaneously allows for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8515648f012b0c3a9c78337576fce623
https://doi.org/10.1109/igarss.2012.6350697
https://doi.org/10.1109/igarss.2012.6350697
Publikováno v:
IGARSS
Three minimum-error land cover classifiers are compared on coarse resolution MODerate-resolution Imaging Spectroradiometer (MODIS) surface reflectance data for discerning between vegetation and settlement classes. It is shown that good class separabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ea4100b8698e014483ad53b3ea7437b
https://doi.org/10.1109/igarss.2011.6049847
https://doi.org/10.1109/igarss.2011.6049847