Evaluating the potential of satellite hyperspectral resurs-p data for forest species classification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F16%3A00465980" target="_blank" >RIV/86652079:_____/16:00465980 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/443/2016/" target="_blank" >http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/443/2016/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/isprsarchives-XLI-B1-443-2016" target="_blank" >10.5194/isprsarchives-XLI-B1-443-2016</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluating the potential of satellite hyperspectral resurs-p data for forest species classification

Popis výsledku v původním jazyce

Satellite-based hyperspectral sensors provide spectroscopic information in relatively narrow contiguous spectral bands over a large area which can be useful in forestry applications. This study evaluates the potential of satellite hyperspectral Resurs-P data for forest species mapping. Firstly, a comparative study between top of canopy reflectance obtained from the Resurs-P, from the airborne hyperspectral scanner CASI and from field measurement (FieldSpec ASD 4) on selected vegetation cover types is conducted. Secondly, Resurs-P data is tested in classification and verification of different forest species compartments. The results demonstrate that satellite hyperspectral Resurs-P sensor can produce useful informational and show good performance for forest species classification comparable both with forestry map and classification from airborne CASI data, but also indicate that developments in pre-processing steps are still required to improve the mapping level.

Název v anglickém jazyce

Evaluating the potential of satellite hyperspectral resurs-p data for forest species classification

Popis výsledku anglicky

Satellite-based hyperspectral sensors provide spectroscopic information in relatively narrow contiguous spectral bands over a large area which can be useful in forestry applications. This study evaluates the potential of satellite hyperspectral Resurs-P data for forest species mapping. Firstly, a comparative study between top of canopy reflectance obtained from the Resurs-P, from the airborne hyperspectral scanner CASI and from field measurement (FieldSpec ASD 4) on selected vegetation cover types is conducted. Secondly, Resurs-P data is tested in classification and verification of different forest species compartments. The results demonstrate that satellite hyperspectral Resurs-P sensor can produce useful informational and show good performance for forest species classification comparable both with forestry map and classification from airborne CASI data, but also indicate that developments in pre-processing steps are still required to improve the mapping level.

Druh

D - Stať ve sborníku

CEP obor

GK - Lesnictví

OECD FORD obor

—

Projekt

<a href="/cs/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 - Rozvoj Centra pro studium dopadů globální změny klimatu</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

XXIII ISPRS Congress: Technical Commission VII

ISBN

—

ISSN

1682-1750

e-ISSN

—

Počet stran výsledku

6

Strana od-do

443-448

Název nakladatele

Copernicus Gesselschaft

Místo vydání

Göttingen

Místo konání akce

Prague

Datum konání akce

12. 7. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000392750100073