Remote Sensing for Land Administration

What is land? Who owns it? Who can use it? How much is it worth? What can it be used for? These are the questions land administration seeks to answer responsibly, which requires trustworthy people, transparent processes, and reliable information systems. Spatial information is an essential ingredien...

Full description

Saved in:
Bibliographic Details
HerausgeberIn:
Sonstige:
Year of Publication:2020
Language:English
Physical Description:1 electronic resource (212 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993546440104498
ctrlnum (CKB)5400000000044171
(oapen)https://directory.doabooks.org/handle/20.500.12854/69121
(EXLCZ)995400000000044171
collection bib_alma
record_format marc
spelling Bennett, Rohan edt
Remote Sensing for Land Administration
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (212 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
What is land? Who owns it? Who can use it? How much is it worth? What can it be used for? These are the questions land administration seeks to answer responsibly, which requires trustworthy people, transparent processes, and reliable information systems. Spatial information is an essential ingredient, and is embedded in the cadastral plans, maps, and land registry records that are used to prove ownership, trade land, access credit, resolve land disputes, enable fair taxation, and support land use planning and development. In the past, ground-based surveying techniques were used to capture the information, however, advances in remote sensing are driving the development of approaches that are faster, lower in cost, more accurate, or more participatory. These can be used to build land administration systems that better support poverty reduction, rapid urbanization, vertical development, and complex infrastructure management. The contributions contained in this book unpack these developments and the potential impacts and explore applications of high-resolution satellite imagery, unmanned aerial vehicle imagery, laser scanning, airborne and terrestrial (LiDAR), machine learning, and artificial intelligence methods, as applied to land administration in parts of Europe, Asia, and Africa.
English
Research & information: general bicssc
3-03943-054-8
3-03943-055-6
van Oosterom, Peter edt
Lemmen, Christiaan edt
Koeva, Mila edt
Bennett, Rohan oth
van Oosterom, Peter oth
Lemmen, Christiaan oth
Koeva, Mila oth
language English
format eBook
author2 van Oosterom, Peter
Lemmen, Christiaan
Koeva, Mila
Bennett, Rohan
van Oosterom, Peter
Lemmen, Christiaan
Koeva, Mila
author_facet van Oosterom, Peter
Lemmen, Christiaan
Koeva, Mila
Bennett, Rohan
van Oosterom, Peter
Lemmen, Christiaan
Koeva, Mila
author2_variant r b rb
o p v op opv
c l cl
m k mk
author2_role HerausgeberIn
HerausgeberIn
HerausgeberIn
Sonstige
Sonstige
Sonstige
Sonstige
title Remote Sensing for Land Administration
spellingShingle Remote Sensing for Land Administration
title_full Remote Sensing for Land Administration
title_fullStr Remote Sensing for Land Administration
title_full_unstemmed Remote Sensing for Land Administration
title_auth Remote Sensing for Land Administration
title_new Remote Sensing for Land Administration
title_sort remote sensing for land administration
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (212 p.)
isbn 3-03943-054-8
3-03943-055-6
illustrated Not Illustrated
work_keys_str_mv AT bennettrohan remotesensingforlandadministration
AT vanoosterompeter remotesensingforlandadministration
AT lemmenchristiaan remotesensingforlandadministration
AT koevamila remotesensingforlandadministration
status_str n
ids_txt_mv (CKB)5400000000044171
(oapen)https://directory.doabooks.org/handle/20.500.12854/69121
(EXLCZ)995400000000044171
carrierType_str_mv cr
is_hierarchy_title Remote Sensing for Land Administration
author2_original_writing_str_mv noLinkedField
noLinkedField
noLinkedField
noLinkedField
noLinkedField
noLinkedField
noLinkedField
_version_ 1796651970308603905
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02436nam-a2200361z--4500</leader><controlfield tag="001">993546440104498</controlfield><controlfield tag="005">20231214133050.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202105s2020 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5400000000044171</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/69121</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995400000000044171</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bennett, Rohan</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Remote Sensing for Land Administration</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel, Switzerland</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (212 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">What is land? Who owns it? Who can use it? How much is it worth? What can it be used for? These are the questions land administration seeks to answer responsibly, which requires trustworthy people, transparent processes, and reliable information systems. Spatial information is an essential ingredient, and is embedded in the cadastral plans, maps, and land registry records that are used to prove ownership, trade land, access credit, resolve land disputes, enable fair taxation, and support land use planning and development. In the past, ground-based surveying techniques were used to capture the information, however, advances in remote sensing are driving the development of approaches that are faster, lower in cost, more accurate, or more participatory. These can be used to build land administration systems that better support poverty reduction, rapid urbanization, vertical development, and complex infrastructure management. The contributions contained in this book unpack these developments and the potential impacts and explore applications of high-resolution satellite imagery, unmanned aerial vehicle imagery, laser scanning, airborne and terrestrial (LiDAR), machine learning, and artificial intelligence methods, as applied to land administration in parts of Europe, Asia, and Africa.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Research &amp; information: general</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-03943-054-8</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-03943-055-6</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">van Oosterom, Peter</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lemmen, Christiaan</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Koeva, Mila</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bennett, Rohan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">van Oosterom, Peter</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lemmen, Christiaan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Koeva, Mila</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:41:31 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-04-04 09:22:53 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5338284610004498&amp;Force_direct=true</subfield><subfield code="Z">5338284610004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338284610004498</subfield></datafield></record></collection>