20220329
16324500
1.0
FGDC CSDGM Metadata
FALSE
AgLandUse_2015
002
419564.998200
938458.177600
2095889.994200
2457687.229900
1
17.042
Projected
GCS_North_American_1983_HARN
Linear Unit: Meter (1.000000)
NAD_1983_HARN_UTM_Zone_4N
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>PROJCS["NAD_1983_HARN_UTM_Zone_4N",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-159.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3750]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102202</WKID><LatestWKID>3750</LatestWKID></ProjectedCoordinateSystem>
20220411
16201600
20220411
16201600
625000
5000
FGDC
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
2015 Agricultural Baseline
1
-159.780459
-154.749981
22.224599
18.908693
The 2015 Hawaii statewide agricultural land use baseline layer was created to provide a snapshot of current commercial agricultural land use activity. The purpose of this layer was to help define the areas, circumstances, and resources that drive the agricultural production taking place throughout the state.
Mapping the state's current agriculture on Hawai'i used the Geographic Information System (GIS) resources at the University of Hawai'i at Hilo's Spatial Data Analysis and Visualization Laboratory, in conjunction with the Hawai’i State Department of Agriculture.
Note: April 2022: Several users of the data discovered that the original 2015 Hawaiʻi Statewide Agricultural Land Use Baseline layer and the 2020 Update to the Hawaiʻi Statewide Agricultural Land Use Baseline layer did not overlay properly, with an offset between the layers of 10 feet to 40 feet, depending on the area. As a result, both the original and the updated layers have been republished, and now overlay as they should. The underlying data itself has not changed.
For more information, see metadata at: https://files.hawaii.gov/dbedt/op/gis/data/aglanduse_2015.pdf or contact the Hawaii Statewide GIS Program at gis@hawaii.gov.
Hawai’i State Department of Agriculture
University of Hawai’i Hilo
Spatial Data Analysis and Visualization Laboratory
Hawaii
Crops
Agriculture
State
Research
<DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P><SPAN>The 2015 Hawaii Statewide Agricultural Land Use Baseline layer was created to provide a snapshot of contemporary commercial agricultural land use activity in Hawaii. It is based upon an assemblage of geospatial datasets, primarily high-resolution WorldView-2 satellite imagery (2011 – 2013) used as a base layer for digitization. Additional datasets used in this work include GIS layers (‘Agriculture and Farming’, ‘Inland Water Resources’, and ‘Cadastral and Land Descriptions’) provided by the state of Hawaii, Office of Planning Statewide GIS Program and other data provided by major land owners and managers. County Real Property Tax and Agricultural Water Use data were also used to identify commercial farm operations. Data for both real property tax assessment and agricultural water use were collected from each county that provided their most recent records, generally from 2014-2015. Not all properties that receive County agricultural tax assessment rates or reduced water cost for agricultural uses were mapped due to the small scale of some of their operations. These data sources were used to verify mapped commercial farms and identify operations that might have been missed using the imagery alone. </SPAN></P><P><SPAN>Digitized crop locations and boundaries were verified through a combination of on-the-ground site visits, meetings and presentations of draft layers with agricultural stakeholders and landowners, solicitations through a publicly accessible online web mapping portal, and spot-checking using Google Earth™ and other high resolution imagery sources. </SPAN></P><P><SPAN>The 2015 Hawaii Statewide Agricultural Land Use Baseline layer represents our best efforts to capture the scale and diversity of commercial agricultural activity in Hawaii in 2015 and should be used for informational purposes only. </SPAN></P><P><SPAN>Note: April 2022: Several users of the data discovered that the original 2015 Hawaiʻi Statewide Agricultural Land Use Baseline layer and the 2020 Update to the Hawaiʻi Statewide Agricultural Land Use Baseline layer did not overlay properly, with an offset between the layers of 10 feet to 40 feet, depending on the area. As a result, both the original and the updated layers have been republished, and now overlay as they should. The underlying data itself has not changed.</SPAN></P><P><SPAN /></P><P><SPAN>For more information, see metadata at: </SPAN><A href="https://files.hawaii.gov/dbedt/op/gis/data/aglanduse_2015.pdf" STYLE="text-decoration:underline;"><SPAN>https://files.hawaii.gov/dbedt/op/gis/data/aglanduse_2015.pdf</SPAN></A><SPAN> or contact the Hawaii Statewide GIS Program at </SPAN><A href="mailto:gis@hawaii.gov" STYLE="text-decoration:underline;"><SPAN>gis@hawaii.gov</SPAN></A><SPAN>.</SPAN></P></DIV></DIV></DIV>
Sponsor of the 2015 Hawai’i Crop Layer. Funding for the 2015 Hawaii Statewide Agricultural Land Use Baseline was provided by the Hawai’i State Department of Agriculture. Authors of the 2015 Hawai’i Crop Layer. The University of Hawai’i at Hilo Spatial Data Analysis and Visualization (SDAV) Laboratory carried out the work under the direction of Dr. R.L. Perroy, Project Manager Jeffrey Melrose, and Cartographer and Geospatial Analyst Sylvana Cares. UH Hilo Undergraduate student interns Leilani Yamasaki and Ian Seely also contributed many hours to this work.
Please acknowledge the Spatial Data Analysis and Visualization Lab at the University of Hawaii at Hilo as a source when this data is used in the preparation of reports, papers, publications, maps, and other products.
<DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P><SPAN STYLE="font-weight:bold;"><SPAN>No Warranty.</SPAN></SPAN><SPAN><SPAN> We have made every effort to make all images, maps, graphs, data, and other information provided as a result of this project accurate and error-free. However, we do not guarantee the accuracy of any images, maps, graphs, data, or other information. All content is provided without warranty of any kind and is not intended for any regulatory use whatsoever.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
The following protocols were used to generate the 2015 Hawaii Statewide Agricultural Land Use Baseline data layers.
- This project focused on commercial agriculturaloperations with a three acre minimum crop mapping area. Understanding the importance of smaller scale producers to Hawaiʻi’s agricultural community, commercial operations less thanthree acres were included where they could be reasonably identified.
- Mapped units follow actual croppedareas as identified in satellite imagery, not TMK parcel boundaries.
- Agricultural lands which did not display actual vegetation growth but appeared to be part of an active agricultural rotation (freshly tilled fields, etc.) were included in acreage summaries.
- For papaya and other crops that rotate every 3-4 years,mappingefforts were focused on active production areas and did not include fallowed fields.
- Packing or processing facilities and in-field access roads were generallyincluded in acreage summaries.
- Homes, reservoirs, un-farmable gulches and major roadways separating field areas were not mapped.
- “Agri-scaping” of private residences was not mapped.
- Smallbackyard orchards and what appear to be home use vegetable gardens were not mapped - Equestrian uses, including arenas, boarding and riding facilities,were not mapped.
- Rooster cultivation was not mapped.
- Piggeries were not mapped. Available data on pork production is summarized in the text and figures of the accompanying report.
- Poultry farms were not mapped. Available data on egg and poultry production is summarized in the text of the accompanying report.
Crops categories and considerations
• Aquaculture includes active shrimp farms, working fishponds, algae raceways, and research/production facilities. • Banana includes fields in contiguous plantings >2-3 acres. Throughout the state, bananas are also cultivated in gulches, along farm boundaries and in small patches within smaller, diversified farm operations. These smaller mixed plantings are generally incorporated into the surrounding farm and labeled as Diversified Crop.
• Coffee includes both larger plantation-type scale operations on Molokaʻi, Maui and Kauaʻi; and smaller farm planting >2.0 acres in coffee growing regions like Kona, Ka’u and elsewhere. The North and South Kona region on Hawaiʻi Island were difficult to map accurately based on a practice some farmers have adopted to plant both macadamia nuts and coffee on the same ground. The mature nature of these orchard-dominated agricultural practices in Kona made it challenging to confidently discern these coffee-macadamia crop boundaries from satellite imagery. • Commercial Forestry plantings include both short and long rotation tree crops. Plantings include eucalyptus and other species intended for timber, fiber or energy production and higher value hardwoods like koa and mahogany that are planted for eventual commercial harvest and not part of native forest restoration efforts
• Dairy includes core milking and on-farm processing facilities and the surrounding pastures and crop lands under active dairy use.
• Diversified Crops includes a wide range of products that are grown either outdoors or in greenhouses. The category includes many of Hawaiʻi’s small farms and much of its local, fresh vegetablesincluding tomato, cucumbers leaf crops, beans, asparagus, etc. This category also includes smaller plantings of crops such as banana, tropical fruit, papaya, coffee etc. that were too small to map out individually. Also included in the category are export crops such as Okinawan sweet potato, basil and Asian spices that make up an estimated 500-1,000 acres of farm land on ʻOahu and South Hilo.
• Flowers, Foliage and Landscapingincludes a wide variety of products including hot house/shade cloth grown orchids, antheriums, tropical flowers, potted nursery plants, field stock, sod farms, and landscape trees.
• Macadamia Nut includes orchards that appear to be actively maintained and harvested. Orchards range from hundreds of acres in South Kona, Kaʻū and Puna to small and mid-size plantings throughout Hawaiʻi Island. Portions of abandoned planting near Wailuku, Maui,were not counted. • Papaya is a 3-4 year crop and was mapped in areas where significant commercial papaya production occurs. Mapping efforts focused on just those lands that appeared to be planted and in active production. Fallow lands that might be available for future papaya planting were not mapped but are an important part of what the papaya industry needs to produce in a sustainable fashion. Smaller plantings of papaya on mixed-crop farms are mapped as Diversified Crop.
• Pasture includes areas in active commercial cattle operation where fencing is apparent and water troughs and/or cattle trails can be identified. Small pasture plots in diverse rural homestead areas were not the focus of this mapping effort but were included where larger parcels and contiguous pasture areas were present. Lands that were formerly in pasture use but have now been purchased by the military (Keʻāmūku, S. Kohala), the National Park Service (Kahuku Ranch, Kau) or withdrawn from pasture in favor of native forest restoration (for example; Keauhou Ranch, Kau or Hakalau, Preserve, Hāmākua) were not included in the pasture layer. Range lands that are fenced and grazed only seasonally are mapped as pasture lands.
• Pineapples includes areasplanted in large to mid-size operations (primarilyon ʻOahu and Maui). Smaller pineapple plantings that are mixed within smaller diversified farm operations are mapped and labeled as Diversified Crop.
• Seed Production includes all arable lands in use by the seed companies at the time of this survey. Net acres actually planted in corn, or other seed crops, will be substantially less than the gross acres depicted. The industry estimates that they use approximately 25% of their farmable land at any time for growing crops. Areas depicted include in-field roads, pollen drift buffers and areas managed for future crop rotation.
• Sugar includes areas planted in sugarcane. The majority of this crop is grown by Hawaiʻi Commercial and Sugar Company (HC&S) in the central plain of Maui. HC&S provided the GIS data they use to manage their agricultural field operations. Several smaller sugar plantings were identified on other islands where the crop is used to produce rum or cane is carved into swizzle sticks for the visitor market. • Taro includes crop grown only in wetland settings. Dry land taro is included in the Diversified Crop category.
• Tropical Fruit includes a range of products such asrambutan, avocado, longan, lychee, citrus, cacao and other orchard fruit trees, that are planted for commercial harvest. Small backyard orchards were not mapped and are not counted in summary tropical fruit acreage.
File Geodatabase Feature Class
17.042
dataset
EPSG
6.13(10.0.0)
5024
Simple
FALSE
5024
TRUE
FALSE
AgLandUse_2015
Feature Class
5024
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
CropCatego
CropCatego
String
50
0
0
003
Island
Island
String
25
0
0
Acreage
Acreage
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20220411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==
University of Hawaii at Hilo
Dr. Ryan L Perroy
Assistant Professor
200 W. Kawili St
Hilo
HI
96720
rperroy@hawaii.edu
US
808.932.7259