def land_cover(request):
"""
land_cover(request)
Global maps of the MODIS land cover data product (MCD12Q), rendered by the
Google Earth Engine.
"""
smrylogger.debug("LAND COVER VIEW")
# Set attributes.
attr_dct = site_attr.set_attrs(request, "modis_lnd_cvr")
# 1
smrylogger.debug("1 land_cover( )|attr_dct: %s", attr_dct)
# Create an instance of YearForm_MODIS_LandCover.
year_form = YearForm_MODIS_LandCover(
request.POST,
initial={
"year": attr_dct["year"],
"opacity": attr_dct["opacity"],
"dscrpt_txt": attr_dct["dscrpt_txt"],
"lrg_fmt": attr_dct["lrg_fmt"],
},
)
# 2
smrylogger.debug("2 land_cover( )|year_form.initial: %s", year_form.initial)
if request.method == "POST":
# Create an instance of class YearForm and populate with
# request data.
year_form = YearForm_MODIS_LandCover(request.POST)
if year_form.is_valid():
# Update attributes.
for key in year_form.cleaned_data.keys():
attr_dct[key] = year_form.cleaned_data[key]
# Set attributes in session to dictionary items.
site_attr.set_session_attr(request, attr_dct)
# 3
smrylogger.debug("3 land_cover( )|attr_dct: %s", attr_dct)
else:
# 4
logmsg = "4 land_cover( )|Warning: year_form is invalid"
smrylogger.debug(logmsg)
else:
# Create an instance of class YearForm.
year_form = YearForm_MODIS_LandCover(
initial={
"year": attr_dct["year"],
"opacity": attr_dct["opacity"],
"dscrpt_txt": attr_dct["dscrpt_txt"],
"lrg_fmt": attr_dct["lrg_fmt"],
}
)
# Initialize Earth Engine. The configuration file config.py
# contains credentials.
ee.Initialize(config.EE_CREDENTIALS, config.EE_URL)
# Get color palette.
palette_str = palettes.igbp_lndcvr()
# Create Image name.
img_name = "MODIS/051/MCD12Q1/" + str(attr_dct["year"]) + "_01_01"
# 5
smrylogger.debug("5 land_cover( )|img_name: %s", img_name)
# Get map ID.
img = ee.Image(img_name).select(["Land_Cover_Type_1"])
mapid = img.getMapId({"min": 0, "max": 17, "palette": palette_str})
# 6
smrylogger.debug("6 land_cover( )|mapid: %s", mapid)
# Get ecoregions map ID.
mapid_eco_rgns = ee_smry.ee_create_ecorgns_map()
# 7
smrylogger.debug("7 land_cover( )|mapid_eco_rgns: %s", mapid_eco_rgns)
# Create request context from attributes.
# Mapid and token for base map.
dct = {"mapid": mapid["mapid"], "token": mapid["token"]}
# Mapid and token for ecoregions FeatureCollection.
dct["mapid_eco_rgns"] = mapid_eco_rgns["mapid"]
dct["token_eco_rgns"] = mapid_eco_rgns["token"]
for key in attr_dct.keys():
dct[key] = attr_dct[key]
# Set image size.
(dct["width"], dct["height"]) = img_size(lrg_fmt=dct["lrg_fmt"])
# Set opacity attribute.
dct["opacity"] = 0.01 * float(dct["opacity"])
dct["heading"] = "Global MODIS Land Cover"
dct["form"] = year_form
dct["form_action"] = "smry/land_cover/"
dct["form_help"] = year_form.form_help
# 8
smrylogger.debug("8 land_cover( )|dct: %s", dct)
# Load the ee map template.
template = loader.get_template("land_cover/ee_map.html")
# Create context and render.
context = RequestContext(request, dct)
response = HttpResponse(template.render(context))
return response
def nlcd(request):
"""
nlcd(request)
National Land Cover Database (NLCD)
"""
smrylogger.debug("NLCD VIEW")
# Set attributes.
attr_dct = site_attr.set_attrs(request, "nlcd")
# Form with current year.
year_form = YearForm_NLCD(
request.POST,
initial={
"year": attr_dct["year"],
"opacity": attr_dct["opacity"],
"dscrpt_txt": attr_dct["dscrpt_txt"],
"lrg_fmt": attr_dct["lrg_fmt"],
},
)
# 1
smrylogger.debug("1 nlcd( )|year_form.initial: %s", year_form.initial)
if request.method == "POST":
# Create an instance of class YearForm and populate with
# request data.
year_form = YearForm_NLCD(request.POST)
if year_form.is_valid():
# Update attributes.
for key in year_form.cleaned_data.keys():
attr_dct[key] = year_form.cleaned_data[key]
# Set attributes in session to dictionary items.
site_attr.set_session_attr(request, attr_dct)
# 2
smrylogger.debug("2 nlcd( )|attr_dct: %s", attr_dct)
else:
# 3
smrylogger.warning("nlcd( )|Warning: year_form is invalid")
else:
# Create an instance of class RegionForm.
year_form = YearForm_NLCD(
initial={
"year": attr_dct["year"],
"opacity": attr_dct["opacity"],
"dscrpt_txt": attr_dct["dscrpt_txt"],
"lrg_fmt": attr_dct["lrg_fmt"],
}
)
# Initialize Earth Engine. The configuration file config.py
# contains credentials.
ee.Initialize(config.EE_CREDENTIALS, config.EE_URL)
# Get color palette.
palette_str = palettes.nlcd_palette()
# Derive the image name.
img_name = "USGS/NLCD/NLCD" + str(attr_dct["year"])
# 4
smrylogger.debug("4 nlcd( )|img_name: %s", img_name)
# Get map ID.
img = ee.Image(img_name).select(["landcover"])
mapid = img.getMapId({"min": 0, "max": 255, "palette": palette_str})
# 5
smrylogger.debug("5 nlcd( )|mapid: %s", mapid)
# Get ecoregions map ID.
mapid_eco_rgns = ee_smry.ee_create_ecorgns_map()
# 6
smrylogger.debug("6 nlcd( )|mapid_eco_rgns: %s", mapid_eco_rgns)
# Create request context from attributes.
# Mapid and token for base map.
dct = {"mapid": mapid["mapid"], "token": mapid["token"]}
# Mapid and token for ecoregions FeatureCollection.
dct["mapid_eco_rgns"] = mapid_eco_rgns["mapid"]
dct["token_eco_rgns"] = mapid_eco_rgns["token"]
for key in attr_dct.keys():
dct[key] = attr_dct[key]
# Set image size.
(dct["width"], dct["height"]) = img_size(lrg_fmt=dct["lrg_fmt"])
# Set opacity attribute.
dct["opacity"] = 0.01 * float(dct["opacity"])
dct["heading"] = "U.S. National Land Cover Database"
dct["form"] = year_form
dct["form_action"] = "smry/nlcd/"
dct["form_help"] = year_form.form_help
# 7
smrylogger.debug("cdl( )|dct: %s", dct)
# Load the ee map template.
template = loader.get_template("land_cover/ee_map.html")
# Create context and render.
context = RequestContext(request, dct)
response = HttpResponse(template.render(context))
return response
def cdl(request):
"""
cdl(request)
USDA NASS Cropland Data Layer (CDL)
"""
# smrylogger.debug("CDL VIEW")
# Set attributes.
attr_dct = site_attr.set_attrs(request, "nass_cdl")
# Form with current year.
year_form = YearForm_CDL(
request.POST,
initial={"year": attr_dct["year"], "opacity": attr_dct["opacity"], "dscrpt_txt": attr_dct["dscrpt_txt"]},
)
# 1
# smrylogger.debug("1 cdl( )|year_form.initial: %s", year_form.initial)
if request.method == "POST":
# Create an instance of class YearForm and populate with
# request data.
year_form = YearForm_CDL(request.POST)
if year_form.is_valid():
# Update attributes.
for key in year_form.cleaned_data.keys():
attr_dct[key] = year_form.cleaned_data[key]
# Set attributes in session to dictionary items.
site_attr.set_session_attr(request, attr_dct)
# 2
# smrylogger.debug("2 cdl( )|attr_dct: %s", attr_dct)
# else:
# 3
# smrylogger.debug("3 cdl( )|Warning: year_form is invalid")
else:
# Create an instance of class RegionForm.
year_form = YearForm_CDL(
initial={"year": attr_dct["year"], "opacity": attr_dct["opacity"], "dscrpt_txt": attr_dct["dscrpt_txt"]}
)
# Initialize Earth Engine. The configuration file config.py
# contains credentials.
ee.Initialize(config.EE_CREDENTIALS, config.EE_URL)
# Get color palette.
palette_str = palettes.cdl_palette()
# Derive the image name.
img_name = "USDA/NASS/CDL/" + str(attr_dct["year"])
# 4
# smrylogger.debug("cdl( )|img_name: %s", img_name)
# Get map ID.
img = ee.Image(img_name).select(["cropland"])
mapid = img.getMapId({"min": 0, "max": 255, "palette": palette_str})
# 5
# smrylogger.debug("5 cdl( )|mapid: %s", mapid)
# Get ecoregions map ID.
mapid_eco_rgns = ee_smry.ee_create_ecorgns_map()
# 6
# smrylogger.debug("6 cdl( )|mapid_eco_rgns: %s", mapid_eco_rgns)
# Create request context from attributes.
# Mapid and token for base map.
dct = {"mapid": mapid["mapid"], "token": mapid["token"]}
# Mapid and token for ecoregions FeatureCollection.
dct["mapid_eco_rgns"] = mapid_eco_rgns["mapid"]
dct["token_eco_rgns"] = mapid_eco_rgns["token"]
for key in attr_dct.keys():
dct[key] = attr_dct[key]
# Set opacity attribute.
dct["opacity"] = 0.01 * float(dct["opacity"])
dct["heading"] = "USDA NASS Cropland Data Layer"
dct["form"] = year_form
dct["form_action"] = "smry/cdl/"
dct["form_help"] = year_form.form_help
# 7
# smrylogger.debug("6 cdl( )|dct: %s", dct)
# Load the ee map template.
template = loader.get_template("land_cover/ee_map.html")
# Create context and render.
context = RequestContext(request, dct)
response = HttpResponse(template.render(context))
return response
