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Description: Methods / Lineage:
Primarily created by on-screen digitizing of Google and Pleiades
January/February 2023 imagery and enhanced with mid-2023 Planet Scope imagery
and field data by CDE Laos (Rasso Bernhard).
Identification of bushland fallow involved cross-referencing bare ground
imagery from previous years for tree-covered areas in 2023. Identification of
forest types mainly achieved by comparing dry and wet season Planet
imagery.
FALUPAM classification schema available at: https://www.phakhaolao.la/sites/default/files/public/publications/attachments/PFALUPAM%20Manual_Full%20Version_English.pdf
Relevant Fields:
type_id: FALUPAM Tier 1 Land Use/Land Cover class
type_lao: Tier 1 Land Use/Land Cover class name in Lao
type_eng: Tier 1 Land Use/Land Cover class name in English
cat_id: FALUPAM Tier 2 Land Use/Land Cover class/category
cat_lao: Tier 2 Land Use/Land Cover class/category name in Lao
cat_eng: Tier 2 Land Use/Land Cover class/category name in English
SubCat_id: FALUPAM Tier 3 Land Use/Land Cover class/sub-category
subcat_lao: Tier 3 Land Use/Land Cover class/sub-category name in Lao
subcat_eng: Tier 3 Land Use/Land Cover class/sub-category name in
English
tenure: current land user and/or entity holding claiming land tenure
rights
1 = Elephant Conservation Centre (ECC) concession area
2 = Chinese entrepreneurs (long term lease)
3 = Chinese entrepreneurs (short term/wet season lease from local
(4))
4 = others (small holders, military, local investors)
5 = Provincial authorities??
0 = not applicable / no agricultural land
Spatial Reference System:EPSG 32648 (WGS 1984 UTM Zone 48N)
Point of Contact:
Rasso Bernhard (rassobernhard@gmail.com)
Patrick Oswald (patrick.oswald@cde-regions.net)
Quality Limitations:
FALUPAM classification is ideal when a thorough participatory land use
mapping process is undertaken with villagers. However, as this dataset
creation relies mainly on on-screen digitizing of high-resolution satellite
imagery, with minimal field data, the detailed Tier 3 classification may be
susceptible to digitizer bias and limitations in imagery. This can pose
challenges in accurately identifying and distinguishing certain crop, fallow,
and forest types.
Service Item Id: 22a5cdd2bdde4aa09b1ef95e37b78bf4
Copyright Text: CC BY 4.0 DEED, Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/) CDE & Wyss Academy for Nature (2023)
Suggested citation: Rasso Bernhard, et al. (2023): Detailed Land Use Land Cover of Nam Tien Provincial Protection Forest in 2023.
Spatial Reference:
32647
(32647)
Initial Extent:
XMin: 775219.7046872893
YMin: 2124546.3891051305
XMax: 778996.5482712955
YMax: 2131127.385698144
Spatial Reference: 32647
(32647)
Full Extent:
XMin: 772772.6026999997
YMin: 2123876.521400001
XMax: 780758.5157000003
YMax: 2132860.2907999996
Spatial Reference: 32647
(32647)
Units: esriMeters
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Supports Dynamic Layers: false
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