Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

Bibliographic data

Multivolume work

Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [WP-3 FOREST INVENTORY APPLICATIONS]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: REMOTE SENSING-AIDED SURVEY OE RENEWABLE RESOURCES WITH EMPHASIS ON FORESTRY IN THE TROPICS. Simo Poso

Document type:: Multivolume work

Structure type:: Chapter

measurements has been used in the form of double sampling or two-phase sampling. The principles of two-phase sampling were introduced by Neyman (1938) and applied to forest inventory in con nection with remote sensing by Bickford (1932). Thereafter, designs have been described and app lications illustrated by many authors, e.g. Frayer (1979), LaBau and Winterberger (1988), Mattila (1985), Peng (1987), Poso (1972, 1988). Two-phase sampling is a sensible method if there is access to inexpensive auxiliary data. The first phase data does not necessarily have to be remote sensing data, but should be well corre lated to the ground truth data. If several aux iliary data sources, possibly from many diffe rent dates, Landsat TM, SPOT, NOAA, digital ter rain model, old forest resource inventory data, and general map data, the stratification and the whole system tend to become very complicated. The technique suggested here is based on the idea that each auxiliary data source is used either separately or in a simple combination, e.g. the combination of Landsat TM and a gene ral map, for stratification. This results in se veral different strata for each first phase sample unit. The principles of the technique have been described in specific applications used in Finland (e.g. Poso et al. 1984, Peng 1987, Harma 1988). Accordingly, the procedure of using several different stratifications pro duces several sets of inventory data for each first phase sample unit. The methodology is illustrated in Figure 1. In the first phase, units are defined on the basis of a homogeneous grid and stratified on the ba sis of Landsat TM imagery to 5 strata. In the second phase, each first phase plot belonging to stratum 1 receives the same ground variable estimates from matrix Mi based on ground mea surements. Correspondingly, plots belonging to stratum 2 receive the ground variable estimates from matrix M2. The procedure is carried out for each stratum and results in formally complete ground variable estimates for each first-phase plot. STEP 1: Each plot is supplied with first phase data 2 2 3 4 2 STEP 2: 2 3 4 2 4 Each plot is stratified into homogeneous strata on 3 3 4 2 5 the basis of first phase data, xi 3 4 4 5 1 3 5 1 1 1 STEP 3: Y ll> Y 12’ •' ... Yip Measurement of ground truth M h = Y21» Y 22 » •• ... Y 2p data for each stratum, h, Ymhl > Ymh2 »• resulting in a ground truth Ymh >p matrix Mf, (h=l,2,..5) Y 2 y 2 Y 3 Y 4 y 2 STEP 4: Each plot is supplied with Y2 Y3 Y4 y 2 Y4 ground truth values from the relevant matrix Mh to Y3 Y3 y 4 y 2 Y5 be used as the final estimates, Yj-, Y3 Y 4 Y 4 Y 5 Yl (h=index for a stratum) Y 3 y 5 -< -< Yl Figure 1. Steps in two-phase sampling approach

Access restriction

Copyright

fullscreen: Proceedings of the Symposium on Global and Environmental Monitoring (Part 1)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation