Hajar Asadian

Vorträge

• Jahr: 2019 -  Opportunities in remote sensing of forests related to the arrival of the Sentinel-2 satellite

  Autoren: Atzberger, C; Immitzer, M

  Veranstaltung: ForMec - Forest Mechanics

• Jahr: 2019 -  Remote Sensing Landslide Detection in the Longnan Region and the European Alps

  Autoren: Mayrhofer, P; Atzberger, C; Steger, S; Sonnenschein, R; Cuozzo, G; Schneiderbauer, S; Zebisch, M; Notarmicola, C

  Veranstaltung: ESA-MOST China Dragon Cooperation: 2019 Dragon 4 Symposium

• Jahr: 2019 -  The potential benefit of dense multi-temporal Sentinel-2 data for tree species classification

  Autoren: Immitzer, M., Böck, S., Neuwirth, M., Vuolo, F., Dioszegi, G., Atzberger, C.

  Veranstaltung: Living Planet Symposium 2019

• Jahr: 2019 -  The added value of multi-temporal Sentinel-2 data for forest monitoring in the Wienerwald Biosphere Reserve

  Autoren: Immitzer, M; Neuwirth, M; Böck, S; Vuolo, F; Brenner, H; Atzberger, C

  Veranstaltung: 25th IUFRO World Congress 2019 - Forest Research and Cooperation for Sustainable Development

• Jahr: 2019 -  How much does multi-temporal Sentinel-2 data improve crop type classification?

  Autoren: Vuolo, F.; Immitzer, M.; Izquierdo-Verdiguier, E.; Atzberger, C.

  Veranstaltung: Living Planet Symposium 2019

• Jahr: 2019 -  Evaluating the Extended Spring Index over Europe using cloud computing

  Autoren: Izquierdo-Verdiguier, E; Zurita-Milla, R; Klisch, A; Atzberger, C

  Veranstaltung: EGU General Assembly 2019

• Jahr: 2019 -  High Spatial Resolution Land Products Derived From Reconstructed Landsat Reflectance in the Cloud

  Autoren: Izquierdo-verdiguier, E; Moreno-Martinez, A; Camps-Valls, G; Maneta, M.P.; Robinson, N; Atzberger, C; Running, S.W.

  Veranstaltung: Earth Observation phi-week

• Jahr: 2018 -  Research on the optimal thresholds for crop start and end of season retrieval from remotely sensed time series data based on ground observations

  Autoren: Huang, X; Liu, J; Atzberger, C; Liu, Q

  Veranstaltung: International Geoscience and Remote Sensing Symposium IGARSS IEEE 2018

• Jahr: 2018 -  Convolutional Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Images

  Autoren: Lopez, J.; Santos, S.; Atzberger, C.; Torres, D.

  Veranstaltung: IEEE 10th Latin-American Conference on Communications

• Jahr: 2018 -  Use of MODIS time series within NDMA's Drought Early Warning System (EWS)

  Autoren: Atzberger, C.

  Veranstaltung: FAO Predictive Livestock Early Warning Training and Stakeholders Workshop

• Jahr: 2017 -  Neue Entwicklungen in der landwirtschaftlichen Fernerkundung

  Autoren: Atzberger, C.; Vuolo, F.

  Veranstaltung: Symposium: Trends und Herausforderungen satellitengestützter Erdbeobachtung für Wirtschaft und Gesellschaft

• Jahr: 2017 -  Agricultural mapping: Monitoring soil and vegetation layers from space

  Autoren: Atzberger, C.

  Veranstaltung: Global Crop Protection 2017

• Jahr: 2017 -  Use of spatial context information during RTM inversion

  Autoren: Atzberger, C.

  Veranstaltung: Juhan Ross Legacy Symposium

• Jahr: 2010 -  Retrieval of vegetation biochemical using a radiative transfer model and hyperspectral data

  Autoren: Darvishzadeh, R., Atzberger, C., Skidmore, A., Schlerf, M.

  Veranstaltung: 7th ISPRS TC Symposium 2010 - 100 Years ISPRS

• Jahr: 2010 -  Estimating sub-pixel to regional winter crop areas using neural nets

  Autoren: Atzberger, C.

  Veranstaltung: 7th ISPRS TC Symposium 2010 - 100 Years ISPRS

• Jahr: 2009 -  Vegetation biophysical variable retrieval using object-based inversion of hyperspectral Chris/Proba data

  Autoren: Atzberger, C., Richter, K.

  Veranstaltung: ESA Hyperspectral workshop 2009

• Jahr: 2008 -  Mapping of vegetation biophysical variables using radiative transfer models - coping with the ill-posed inverse problem

  Autoren: Atzberger, C.

  Veranstaltung: RSPSoc 2008

• Jahr: 2008 -  Multi-angular reflectance properties of vegetation: Comparing model simulations with satellite data

  Autoren: Schlerf, M., Verhoef, W., Hill, J., Buddenbaum, H., Atzberger, C., Skidmore, A.

  Veranstaltung: ISPRS 2007