Forest height estimation from TanDEM-X images with semi-empirical coherence models

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

  • KappaZeta
  • University of Tartu

Kuvaus

In this study we compare semi-empirical interferometric coherence models, proposed in ill, for tree height estimation from TanDEM-X coherence scenes. The models are derived from Random Volume over Ground model, by applying simplifications and introducing empirical parameters at different complexity levels so that the models can be adapted to available ancillary data. Several different TandDEM-X interferometric scenes from Estonia are used to test the model performance in various conditions. All the results are compared with highly accurate canopy height models measured using airborne laser scanning. We demonstrate that models which are very simple to invert, produce accurate tree height estimates when the conditions are most favorable. Best results can be seen for winter images for frozen and dry snow conditions. Simple parametric sinc model can produce accurate tree height maps over large areas with pixel-wise deviation only few meters.

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
TilaJulkaistu - 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Geoscience and Remote Sensing Symposium - Valencia, Espanja
Kesto: 22 heinäkuuta 201827 heinäkuuta 2018
Konferenssinumero: 38
https://www.igarss2018.org/

Julkaisusarja

NimiIEEE International Symposium on Geoscience and Remote Sensing IGARSS
KustantajaIEEE
ISSN (painettu)2153-6996
ISSN (elektroninen)2153-7003

Conference

ConferenceInternational Geoscience and Remote Sensing Symposium
LyhennettäIGARSS
MaaEspanja
KaupunkiValencia
Ajanjakso22/07/201827/07/2018
www-osoite

ID: 31399641