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The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java

2006 doctoral thesis by Endang Savitri at Massey University
Place doctoral_thesis Q112868732
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The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java

Summary

The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java is a doctoral thesis[1].

Key Facts

  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java authored a case study in central Java — author (P50): Endang Savitri[2].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's instance of is recorded as a case study in central Java — instance of (P31): doctoral thesis[3].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's publisher is recorded as a case study in central Java — publisher (P123): Massey Research Online[4].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's language of work or name is recorded as a case study in central Java — language of work or name (P407): English[5].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's country of origin is recorded as a case study in central Java — country of origin (P495): New Zealand[6].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's publication date is recorded as +2006-00-00T00:00:00Z[7].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's main subject is recorded as a case study in central Java — main subject (P921): forest management[8].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's main subject is recorded as a case study in central Java — main subject (P921): environmental resource management[9].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's main subject is recorded as a case study in central Java — main subject (P921): soil erosion[10].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's Handle ID is recorded as 10179/1506[11].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's title is recorded as The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java[12].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's copyright holder is recorded as a case study in central Java — copyright holder (P3931): Endang Savitri[13].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's thesis submitted to is recorded as a case study in central Java — thesis submitted to (P4101): Massey University[14].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's on focus list of Wikimedia project is recorded as a case study in central Java — on focus list of Wikimedia project (P5008): NZThesisProject[15].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's copyright status is recorded as a case study in central Java — copyright status (P6216): copyrighted[16].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's thesis committee member is recorded as a case study in central Java — thesis committee member (P9161): John D. Holland[17].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's thesis committee member is recorded as a case study in central Java — thesis committee member (P9161): Mike Tuohy[18].
  • The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's thesis committee member is recorded as a case study in central Java — thesis committee member (P9161): Robert G. Gibb[19].

Body

Designation and Status

The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java's instance of is recorded as a case study in central Java — instance of (P31): doctoral thesis[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  8. [9] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  9. [10] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java. Retrieved May 3, 2026, from https://4ort.xyz/entity/the-use-of-gis-and-remote-sensing-to-identify-areas-at-risk-from-erosion-in-indonesian-forests-a-case-study-in-central-java
MLA “The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/the-use-of-gis-and-remote-sensing-to-identify-areas-at-risk-from-erosion-in-indonesian-forests-a-case-study-in-central-java.
BibTeX @misc{4ortxyz_the-use-of-gis-and-remote-sensing-to-identify-areas-at-risk-from-erosion-in-indonesian-forests-a-case-study-in-central-java_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java}}, year = {2026}, url = {https://4ort.xyz/entity/the-use-of-gis-and-remote-sensing-to-identify-areas-at-risk-from-erosion-in-indonesian-forests-a-case-study-in-central-java}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The use of GIS and remote sensing to identify areas at risk from erosion in Indonesian forests : a case study in central Java — https://4ort.xyz/entity/the-use-of-gis-and-remote-sensing-to-identify-areas-at-risk-from-erosion-in-indonesian-forests-a-case-study-in-central-java (retrieved 2026-05-03)

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