Assessment of map quality

A common method to assess the quality of a course scale data-set is to compare it with independent information at selected locations on a more detailed scale in order to draw conclusions with respect to the map quality at these locations and extrapolate it to the general map quality. Here, however, all available data on irrigated areas at appropriate scales were used to compile the map itself and therefore could not be used for a quality assessment. Apart form this, it is very difficult to compare the quantitative information as presented on the map (expressed as area equipped for irrigation in a 5-minute cell in ha) with point information collected for specific positions by ground-truthing (irrigated or rainfed).

To assess the quality of the Global Map of Irrigation Areas, two indicators were developed that take into account the geospatial information density of the base data:

  • Indicator A (IND_A), represents the density of the used subnational irrigation statistics;
  • Indicator B (IND_B), represents the density of the available geospatial records on position and extent of irrigated areas;

The combination of IND_A and IND_B is used to describe the overall map quality per country.

The density of subnational irrigation statistics can be obtained by calculating the arithmetic mean of the size of the subnational units. However, there are some countries where irrigation is concentrated in some small subnational units while in other very large subnational units of the same country there is no or very little irrigation. To avoid that large subnational units without significant irrigation have a negative impact on indicator A, the size of each subnational statistical unit is weighted by the irrigation density in the subnational unit relative to the irrigation density in the entire country:

IND_A

with:

irridens

where IND_Acountry is the average weighted size of the subnational units in the specific country (ha), areacountry is the surface area of the country (ha), irridensadm is the irrigation density in subnational unit adm (-), irridenscountry is the irrigation density in region the country (-), n is the number of subnational units in the country, irareaadm is the irrigated area in subnational unit adm (ha) and areaadm is the surface area in subnational unit adm (ha).

IND_A equals the average size of all subnational units in a country if the irrigation density is the same all over the country the country. If all irrigated area is concentrated in only one subnational unit, IND_A is equal to the size of this subnational unit. IND_A is lower than the average size of the subnational units if the irrigation density is higher in small subnational units than in the larger subnational units. Lower values of IND_A indicate a better map quality.

The second indicator (IND_B) was developed to give an estimate on the density of geospatial information used to assign irrigated area to specific cells within the sub-national units. IND_B was computed as the fraction of irrigated area that could be assigned to specific grid cells by using geospatial records on the position and extent of known irrigation projects. Higher values of IND_B indicate a better map quality.

Both indicators were assigned a country mark according to the classification in the following table:

Mark    Indicator IND_A (ha)    Indicator IND_B (%)
Excellent< 100 00090 - 100
Very good100 000 - 250 00070 - 90
Good250 000 - 500 00050 - 70
Fair500 000 - 1 000 00025 - 50
Poor1 000 000 - 3 000 00010 - 25
Very poor > 3 000 000< 10

A mark for the overall quality was given assuming that the types of information that are reflected by the two indicators can replace each other. The mark for the overall map quality was set to the better of the two marks given according to IND_A and IND_B. If, for example, the location and extent of almost all irrigation projects in a country is known then the overall quality of the map should be excellent independently from the mark given according to the weighted size of subnational units. On the other hand, if the size of the subnational statistical units is very small (in an extreme case smaller than the map resolution of 5 arc minutes), the overall quality of the map should also be excellent even if there are no geospatial records on the position of irrigation schemes within the sub-national units available. Finally the mark for the overall map quality was downgraded when there were doubts regarding the reliability of the information used for a specific country. Eventually all countries got a mark from 1 to 4 representing "Very Good" to "Poor". In version 4 of the Global Map of Irrigation Areas none of the countries was classified as either "Excellent" or "Very Poor". The quality marks for each country are listed in the table below.

Marks for the overall mapping quality in world regions or at global scale were computed by combining the marks for the overall quality of the map at country level and the irrigated area in the corresponding countries as:

mreg

where mreg is the overall quality of irrigation map in the whole region, irareav_good, irareagood, irareafair and irareapoor represent the irrigated area of all countries in the region with very good, good, fair or poor map quality (ha) and irareareg is the irrigated area in the whole region (ha). The table below shows the map quality of different regions:

RegionFinal mark
North America1.03
Central America2.13
South America2.25
Northern Africa1.46
Western Africa2.90
Eastern Africa1.93
Southern Africa1.50
Western Europe2.32
Eastern Europe2.36
Southern Europe1.35
Russian Federation4.00
Near East2.17
Central Asia1.63
East Asia2.02
South Asia1.94
South-East Asia1.87
Oceania1.44
World1.88

A detailed explanation of the quality assessment of the Global Map of Irrigation Areas is described in the paper Development and validation of the global map of irrigation areas published in Hydrology and Earth System Sciences. It should be noted that the analyses for this paper were done on map version 3.

CountryRegionIrrigated
area (ha)
Reference YearMap quality
AfghanistanCentral Asia3 199 0701993very good
AlbaniaEastern Europe340 0002000very good
AlgeriaNorthern Africa569 4182001good
AndorraSouthern Europe1501990good
AngolaSouthern Africa80 0001975poor
Antigua and BarbudaCentral America1301997good
ArgentinaSouth America1 767 7842002good
ArmeniaCentral Asia286 0271992very good
AustraliaOceania2 056 5801997very good
AustriaWestern Europe97 4802003good
AzerbaijanCentral Asia1 453 3182000good
BahrainNear East4 0602001very good
BangladeshSouth Asia3 751 0451995very good
BarbadosCentral America1 0001989very good
BelarusEastern Europe115 0002003poor
BelgiumWestern Europe35 1702003poor
BelizeCentral America3 0001997poor
BeninWestern Africa12 2582002very good
BhutanSouth Asia38 7341990very good
Bolivia (Plurinational
State of)
South America128 2401999fair
Bosnia and HerzegovinaEastern Europe4 6302002good
BotswanaSouthern Africa1 4392002fair
BrazilSouth America3 149 2172001good
Brunei DarussalamSouth-East Asia1 0001995fair
BulgariaEastern Europe545 1602003good
Burkina FasoWestern Africa25 0002001good
BurundiEastern Africa21 4302000poor
CambodiaSouth-East Asia284 1722001very good
CameroonWestern Africa25 6542000good
CanadaNorth America785 0462001good
Cape VerdeWestern Africa3 1091997very good
Central African RepublicWestern Africa1351987fair
ChadWestern Africa30 2732002fair
ChileSouth America1 900 0001996good
ChinaEast Asia53 823 0002000good
ColombiaSouth America900 0001998fair
ComorosEastern Africa1301987very good
CongoWestern Africa2 0002003fair
Costa RicaCentral America103 0841997fair
Côte d'IvoireWestern Africa72 7501994good
CroatiaEastern Europe5 7902003very good
CubaCentral America870 3191997fair
CyprusNear East55 8132003good
Czech RepublicEastern Europe50 5902005fair
Democratic People's
Republic of Korea
East Asia1 460 0001995fair
Democratic Republic
of the Congo
Western Africa10 5001995good
DenmarkWestern Europe476 0002003fair
DjiboutiEastern Africa1 0121999very good
DominicaCentral America0n.a.n.a.
Dominican RepublicCentral America269 7101999good
EcuadorSouth America863 3701997fair
EgyptNorthern Africa3 422 1782002very good
El SalvadorCentral America44 9931997good
Equatorial GuineaWestern Africa0n.a.n.a.
EritreaEastern Africa21 5901993good
EstoniaEastern Europe1 3632005good
EthiopiaEastern Africa289 5302001fair
FijiOceania3 0001998fair
FinlandWestern Europe103 8002003poor
FranceSouthern Europe2 906 0812003good
French GuianaSouth America2 0001995fair
GabonWestern Africa4 4501987good
GambiaWestern Africa2 1491999very good
GeorgiaCentral Asia300 0002000fair
GermanyWestern Europe496 8712002good
GhanaWestern Africa30 9002000fair
GreeceSouthern Europe1 544 5302003good
GrenadaCentral America2191997good
GuadeloupeCentral America2 0001995very good
GuatemalaCentral America129 8031997good
GuineaWestern Africa94 9142001fair
Guinea-BissauWestern Africa22 5581996fair
GuyanaSouth America150 1341991good
HaitiCentral America91 5021991good
HondurasCentral America73 2101991fair
HungaryEastern Europe292 1472004good
IcelandWestern Europe0n.a.n.a.
IndiaSouth Asia57 291 4072000good
IndonesiaSouth-East Asia4 459 0001990good
Iran (Islamic
Republic of
Near East6 913 8001994good
IraqNear East3 525 0001990fair
IrelandWestern Europe1 1002000poor
IsraelNear East183 4082000very good
ItalySouthern Europe3 892 2022000very good
JamaicaCentral America25 2141997very good
JapanEast Asia3 129 0001993good
JordanNear East76 9122000fair
KazakhstanCentral Asia1 855 2001993fair
KenyaEastern Africa103 2032003good
KuwaitNear East6 9682000very good
KyrgyzstanCentral Asia1 075 0401994good
Lao People's
Democratic Republic
South-East Asia295 5352000very good
LatviaEastern Europe1 1502003good
LebanonNear East117 1131997very good
LesothoSouthern Africa2 6381999good
LiberiaWestern Africa2 1001987poor
LibyaNorthern Africa470 0002000good
LiechtensteinWestern Europe0n.a.n.a.
LithuaniaEastern Europe4 4162005good
LuxembourgWestern Europe272002good
MacaoEast Asia0n.a.n.a.
MadagascarEastern Africa1 086 2912000fair
MalawiSouthern Africa56 3902002fair
MalaysiaSouth-East Asia362 6001994good
MaldivesSouth Asia0n.a.n.a.
MaliWestern Africa235 7912000fair
MaltaSouthern Europe2 3002003very good
MartiniqueCentral America3 0001995good
MauritaniaWestern Africa45 0121994fair
MauritiusEastern Africa21 2222002very good
MexicoCentral America6 435 8002004good
MonacoSouthern Europe0n.a.n.a.
MongoliaEast Asia57 3001994fair
MontenegroEastern Europe2 1152005poor
MoroccoNorthern Africa1 458 1602004good
MozambiqueSouthern Africa118 1202003very good
MyanmarSouth-East Asia1 841 3202000fair
NamibiaSouthern Africa7 5732002good
NepalSouth Asia1 168 3492002very good
NetherlandsWestern Europe476 3151997very good
New ZealandOceania577 8822000fair
NicaraguaCentral America61 3651997fair
NigerWestern Africa73 6632005poor
NigeriaWestern Africa293 1172004fair
NorwayWestern Europe134 3961999good
Occupied
Palestinian Territory
Near East19 4662001very good
OmanNear East72 6302000very good
PakistanSouth Asia14 417 4641990good
PanamaCentral America34 6261997fair
Papua New GuineaSouth-East Asia0n.a.n.a.
ParaguaySouth America67 0001998poor
PeruSouth America1 729 0691994good
PhilippinesSouth-East Asia1 550 0001993fair
PolandEastern Europe134 0502005fair
PortugalSouthern Europe792 0081999very good
Puerto RicoCentral America37 0792002very good
QatarNear East12 5201993good
Republic of KoreaEast Asia880 3652002good
Republic of MoldovaEastern Europe307 0001999good
RéunionEastern Africa13 0002005good
RomaniaEastern Europe2 149 9032003good
Russian FederationRussian Federation4 899 9002003poor
RwandaEastern Africa8 5002000good
Saint Kitts and NevisCentral America181997very good
Saint LuciaCentral America2971997very good
Saint Vincent and the GrenadinesCentral America01995n.a.
San MarinoSouthern Europe0n.a.n.a.
Sao Tome and PrincipeWestern Africa9 7001991very good
Saudi ArabiaNear East1 730 7672000good
SenegalWestern Africa119 6802002fair
SerbiaEastern Europe163 3112005good
SeychellesEastern Africa2602003very good
Sierra LeoneWestern Africa29 3601992fair
SingaporeSouth-East Asia0n.a.n.a.
SlovakiaEastern Europe225 3102001good
SloveniaEastern Europe15 6432005very good
SomaliaEastern Africa200 0001984fair
South AfricaSouthern Africa1 498 0002000very good
SpainSouthern Europe3 575 4881999very good
Sri LankaSouth Asia570 0001995good
SudanEastern Africa1 863 0002000very good
SurinameSouth America51 1801998poor
SwazilandSouthern Africa49 8602000good
SwedenWestern Europe188 4702003fair
SwitzerlandWestern Europe40 0002002fair
SyriaNear East1 266 9002001good
Taiwan, Province
of China
East Asia525 5281995very good
TajikistanCentral Asia719 2001994good
ThailandSouth-East Asia4 985 7082000very good
The former Yugoslav
Republic of Macedonia
Eastern Europe127 8002000good
Timor-LesteSouth-East Asia14 0001990fair
TogoWestern Africa7 3001996fair
Trinidad and TobagoCentral America3 6001997fair
TunisiaNorthern Africa394 0632000good
TurkeyNear East4 185 9101994good
TurkmenistanCentral Asia1 744 1001994good
UgandaEastern Africa9 1501998very good
UkraineEastern Europe2 395 5001985fair
United Arab EmiratesNear East280 3412001good
United KingdomWestern Europe228 9502003fair
United Republic
of Tanzania
Southern Africa184 3302002good
United States
of America
North America27 913 8722002very good
UruguaySouth America217 5932000fair
UzbekistanCentral Asia4 223 0001996very good
VenezuelaSouth America570 2191998fair
VietnamSouth-East Asia3 000 0001994good
YemenNear East388 0001996good
ZambiaSouthern Africa155 9122002fair
ZimbabweSouthern Africa173 5131999fair


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