Zobrazeno 1 - 7
of 7
pro vyhledávání: '"digitaal terreinmodel"'
De BES eilanden behoren sinds oktober 2010 tot de Nederlandse gemeenten. Het opstellen van natuurbeleidsplannen behoren tot de nieuwe taken. Gedetailleerde hoogtekaarten zijn daarbij van belang. Met name voor Saba en St. Eustatius, met een zeer gevar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___00893::b8df8b1cfec925ada0fa381a5604a3c6
De BES eilanden behoren sinds oktober 2010 tot de Nederlandse gemeenten. Het opstellen van natuurbeleidsplannen behoren tot de nieuwe taken. Gedetailleerde hoogtekaarten zijn daarbij van belang. Met name voor Saba en St. Eustatius, met een zeer gevar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::092eb9f76de2cce45a4a656494a00c61
https://research.wur.nl/en/publications/production-of-digital-terrain-models-for-the-dutch-caribbean-impl
https://research.wur.nl/en/publications/production-of-digital-terrain-models-for-the-dutch-caribbean-impl
Autor:
Sugardiman, R.A.
The devastation of tropical rain forests has been proven to have a significant effect on global climate change. The sustainability of these forests becomes a major concern for the international community. The Indonesian Ministry of Forestry (MOF) is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9ed801b8005bf4318aef453c69cf15ba
https://research.wur.nl/en/publications/spaceborne-radar-monitoring-of-forest-fires-and-forest-cover-chan
https://research.wur.nl/en/publications/spaceborne-radar-monitoring-of-forest-fires-and-forest-cover-chan
Autor:
Marc F. P. Bierkens, Martin Knotters
Publikováno v:
Stochastic environmental research and risk assessment 16 (2002) 2
Stochastic environmental research and risk assessment, 16(2), 112-126
Stochastic environmental research and risk assessment, 16(2), 112-126
Time series of water table depths (H t ) are predicted in space using a regionalised autoregressive exogenous variable (RARX) model with precipitation surplus (#E5 /E5# t ) as input variable. Because of their physical basis, RARX model parameters can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64e3b14a72e51c93842bfc716455635
https://research.wur.nl/en/publications/accuracy-of-spatio-temporal-rarx-model-predictions-of-water-table-2
https://research.wur.nl/en/publications/accuracy-of-spatio-temporal-rarx-model-predictions-of-water-table-2
Index words: groundwater head, time series analysis, physical interpretation, resampling, stochastic simulation, accuracy, quantified uncertaintyBecause of its shallow depths, the water table is of significant importance for agriculture and nature co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___00893::72917162b06f6772f0aba5f75e193006
The increasing popularity of geographical information systems (GIS) has at least three major implications for land resources survey. Firstly, GIS allows alternative and richer representation of spatial phenomena than is possible with the traditional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___00893::42938be0d86f3a9e41cdb2720398bec9
Autor:
de Bruin, S.
The increasing popularity of geographical information systems (GIS) has at least three major implications for land resources survey. Firstly, GIS allows alternative and richer representation of spatial phenomena than is possible with the traditional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::69c87f250e3f36780e605ad99e3667fa
https://research.wur.nl/en/publications/geographical-information-modelling-for-land-resource-survey
https://research.wur.nl/en/publications/geographical-information-modelling-for-land-resource-survey