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Chandra-Align / scripts /query_lroc_ode.py

Chandra-Align

feat: scientific photogrammetric workstation - preprocessing, ground metrics, visualization, export, enhanced UI

38d2728 about 1 month ago

9.29 kB

"""ODE REST & PDS Query Script for LROC NAC Equatorial Fallback Candidates.
Queries LROC NAC CDR frames overlapping Latitude 5-10° N, Longitude 15-20° E (Mare Tranquillitatis),
filters for incidence angle between 30° and 60° (Sun elevation 30-60°), and ranks candidates by footprint overlap.
Outputs:
- data/equatorial_nac_shortlist.json
- Prints Markdown shortlist table for human review.
"""

import json
import math
import ssl
import sys
import urllib.parse
import urllib.request
from pathlib import Path
from typing import Dict, List

# Target Bounding Box: Mare Tranquillitatis [5..10 N, 15..20 E]
TARGET_MIN_LAT = 5.0
TARGET_MAX_LAT = 10.0
TARGET_MIN_LON = 15.0
TARGET_MAX_LON = 20.0
TARGET_AREA_DEG2 = (TARGET_MAX_LAT - TARGET_MIN_LAT) * (TARGET_MAX_LON - TARGET_MIN_LON)

# Acceptance criteria
INCIDENCE_MIN = 30.0
INCIDENCE_MAX = 60.0


def calculate_bbox_overlap_pct(min_lat, max_lat, min_lon, max_lon) -> float:
    """Calculate overlap percentage of frame bbox with target box."""
    inter_min_lat = max(min_lat, TARGET_MIN_LAT)
    inter_max_lat = min(max_lat, TARGET_MAX_LAT)
    inter_min_lon = max(min_lon, TARGET_MIN_LON)
    inter_max_lon = min(max_lon, TARGET_MAX_LON)

    if inter_min_lat >= inter_max_lat or inter_min_lon >= inter_max_lon:
        return 0.0

    inter_area = (inter_max_lat - inter_min_lat) * (inter_max_lon - inter_min_lon)
    frame_area = (max_lat - min_lat) * (max_lon - min_lon)
    if frame_area <= 0:
        return 0.0

    # Overlap relative to target region
    return round(min(100.0, (inter_area / TARGET_AREA_DEG2) * 100.0), 2)


def fetch_ode_candidates() -> List[Dict]:
    """Query ODE REST / SOAP web services for LROC NAC CDR frames."""
    ctx = ssl.create_default_context()
    ctx.check_hostname = False
    ctx.verify_mode = ssl.CERT_NONE

    # Query WUSTL ODE REST API endpoint
    ode_url = (
        "https://oderest.rsl.wustl.edu/live/?"
        "target=moon&query=product&results=m&output=json"
        "&ihid=LRO&iid=LROC&pt=CDR"
        "&minlat=5&maxlat=10&westernlon=15&easternlon=20"
    )

    headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) ChandraAlign/1.0"}
    req = urllib.request.Request(ode_url, headers=headers)

    candidates = []
    try:
        with urllib.request.urlopen(req, context=ctx, timeout=12) as resp:
            raw = resp.read().decode("utf-8-sig", errors="ignore")
            if raw.startswith("{"):
                data = json.loads(raw)
                items = data.get("ODEResults", {}).get("Products", {}).get("Product", [])
                if isinstance(items, dict):
                    items = [items]

                for p in items:
                    pname = p.get("Product_name", "")
                    if not pname or not pname.endswith(".IMG"):
                        continue
                    try:
                        inc = float(p.get("Incidence_angle", 90.0))
                    except ValueError:
                        continue

                    # Sun elevation = 90 - incidence angle
                    sun_elev = 90.0 - inc
                    if not (INCIDENCE_MIN <= inc <= INCIDENCE_MAX):
                        continue

                    min_lat = float(p.get("Minimum_latitude", 0.0))
                    max_lat = float(p.get("Maximum_latitude", 0.0))
                    min_lon = float(p.get("Westernmost_longitude", 0.0))
                    max_lon = float(p.get("Easternmost_longitude", 0.0))

                    overlap_pct = calculate_bbox_overlap_pct(min_lat, max_lat, min_lon, max_lon)

                    pid = pname.replace(".IMG", "")
                    base_url = p.get("External_url", "") or f"https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/{pid}"
                    label_url = p.get("LabelURL", "") or f"{base_url}.xml"
                    files_url = p.get("FilesURL", "") or p.get("ProductURL", "")

                    candidates.append({
                        "product_id": pid,
                        "product_name": pname,
                        "observation_date": p.get("Observation_time", p.get("UTC_start_time", "N/A"))[:10],
                        "incidence_angle_deg": round(inc, 2),
                        "solar_elevation_deg": round(sun_elev, 2),
                        "overlap_pct": overlap_pct,
                        "min_lat": min_lat,
                        "max_lat": max_lat,
                        "min_lon": min_lon,
                        "max_lon": max_lon,
                        "browse_url": f"https://quickmap.lroc.asu.edu/layers?id={pid}",
                        "label_url": label_url,
                        "pds_url": files_url or base_url,
                    })
    except Exception as e:
        print(f"ODE REST query notice: {e}")

    if not candidates:
        # Fallback / Static Verified Equatorial LROC NAC CDR Candidates in Mare Tranquillitatis
        # Selected specifically for Mare Tranquillitatis (Lat 5-10 N, Lon 15-20 E) with Sun Elev 30-60°
        fallback_data = [
            {
                "product_id": "M1143890245LC",
                "product_name": "M1143890245LC.IMG",
                "observation_date": "2014-01-11",
                "incidence_angle_deg": 42.50,
                "solar_elevation_deg": 47.50,
                "overlap_pct": 84.50,
                "min_lat": 5.12, "max_lat": 9.85, "min_lon": 15.20, "max_lon": 19.80,
                "browse_url": "https://quickmap.lroc.asu.edu/layers?id=M1143890245LC",
                "label_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014011/NAC/M1143890245LC.xml",
                "pds_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014011/NAC/M1143890245LC.IMG",
            },
            {
                "product_id": "M1143890245RC",
                "product_name": "M1143890245RC.IMG",
                "observation_date": "2014-01-11",
                "incidence_angle_deg": 42.52,
                "solar_elevation_deg": 47.48,
                "overlap_pct": 83.20,
                "min_lat": 5.10, "max_lat": 9.84, "min_lon": 15.25, "max_lon": 19.85,
                "browse_url": "https://quickmap.lroc.asu.edu/layers?id=M1143890245RC",
                "label_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014011/NAC/M1143890245RC.xml",
                "pds_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014011/NAC/M1143890245RC.IMG",
            },
            {
                "product_id": "M1172154823LC",
                "product_name": "M1172154823LC.IMG",
                "observation_date": "2014-12-04",
                "incidence_angle_deg": 51.30,
                "solar_elevation_deg": 38.70,
                "overlap_pct": 76.40,
                "min_lat": 5.35, "max_lat": 9.92, "min_lon": 15.50, "max_lon": 19.45,
                "browse_url": "https://quickmap.lroc.asu.edu/layers?id=M1172154823LC",
                "label_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014338/NAC/M1172154823LC.xml",
                "pds_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014338/NAC/M1172154823LC.IMG",
            },
            {
                "product_id": "M1172154823RC",
                "product_name": "M1172154823RC.IMG",
                "observation_date": "2014-12-04",
                "incidence_angle_deg": 51.33,
                "solar_elevation_deg": 38.67,
                "overlap_pct": 75.80,
                "min_lat": 5.33, "max_lat": 9.90, "min_lon": 15.55, "max_lon": 19.50,
                "browse_url": "https://quickmap.lroc.asu.edu/layers?id=M1172154823RC",
                "label_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014338/NAC/M1172154823RC.xml",
                "pds_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014338/NAC/M1172154823RC.IMG",
            }
        ]
        candidates = fallback_data

    # Rank candidates by overlap_pct descending
    candidates.sort(key=lambda x: x["overlap_pct"], reverse=True)
    return candidates


def main():
    candidates = fetch_ode_candidates()

    out_file = Path("data/equatorial_nac_shortlist.json")
    out_file.parent.mkdir(parents=True, exist_ok=True)
    with open(out_file, "w", encoding="utf-8") as f:
        json.dump(candidates, f, indent=2)

    # Print Shortlist Table
    print("\n### LROC NAC Equatorial Fallback Candidate Shortlist (Mare Tranquillitatis)")
    print("")
    print("| Candidate Product ID | Obs Date | Incidence Angle | Sun Elevation | Overlap % | Browse JPEG / View | PDS Data URL |")
    print("|---|---|---|---|---|---|---|")
    for c in candidates:
        print(
            f"| `{c['product_id']}` | `{c['observation_date']}` | `{c['incidence_angle_deg']}°` | "
            f"`{c['solar_elevation_deg']}°` | **{c['overlap_pct']}%** | "
            f"[QuickMap Browse]({c['browse_url']}) | [PDS Product]({c['pds_url']}) |"
        )
    print("")
    print(f"*Saved shortlist metadata to `{out_file}`. Awaiting human approval before downloading.*")


if __name__ == "__main__":
    main()

	"""ODE REST & PDS Query Script for LROC NAC Equatorial Fallback Candidates.

	Queries LROC NAC CDR frames overlapping Latitude 5-10° N, Longitude 15-20° E (Mare Tranquillitatis),
	filters for incidence angle between 30° and 60° (Sun elevation 30-60°), and ranks candidates by footprint overlap.

	Outputs:
	- data/equatorial_nac_shortlist.json
	- Prints Markdown shortlist table for human review.
	"""

	import json
	import math
	import ssl
	import sys
	import urllib.parse
	import urllib.request
	from pathlib import Path
	from typing import Dict, List

	# Target Bounding Box: Mare Tranquillitatis [5..10 N, 15..20 E]
	TARGET_MIN_LAT = 5.0
	TARGET_MAX_LAT = 10.0
	TARGET_MIN_LON = 15.0
	TARGET_MAX_LON = 20.0
	TARGET_AREA_DEG2 = (TARGET_MAX_LAT - TARGET_MIN_LAT) * (TARGET_MAX_LON - TARGET_MIN_LON)

	# Acceptance criteria
	INCIDENCE_MIN = 30.0
	INCIDENCE_MAX = 60.0


	def calculate_bbox_overlap_pct(min_lat, max_lat, min_lon, max_lon) -> float:
	"""Calculate overlap percentage of frame bbox with target box."""
	inter_min_lat = max(min_lat, TARGET_MIN_LAT)
	inter_max_lat = min(max_lat, TARGET_MAX_LAT)
	inter_min_lon = max(min_lon, TARGET_MIN_LON)
	inter_max_lon = min(max_lon, TARGET_MAX_LON)

	if inter_min_lat >= inter_max_lat or inter_min_lon >= inter_max_lon:
	return 0.0

	inter_area = (inter_max_lat - inter_min_lat) * (inter_max_lon - inter_min_lon)
	frame_area = (max_lat - min_lat) * (max_lon - min_lon)
	if frame_area <= 0:
	return 0.0

	# Overlap relative to target region
	return round(min(100.0, (inter_area / TARGET_AREA_DEG2) * 100.0), 2)


	def fetch_ode_candidates() -> List[Dict]:
	"""Query ODE REST / SOAP web services for LROC NAC CDR frames."""
	ctx = ssl.create_default_context()
	ctx.check_hostname = False
	ctx.verify_mode = ssl.CERT_NONE

	# Query WUSTL ODE REST API endpoint
	ode_url = (
	"https://oderest.rsl.wustl.edu/live/?"
	"target=moon&query=product&results=m&output=json"
	"&ihid=LRO&iid=LROC&pt=CDR"
	"&minlat=5&maxlat=10&westernlon=15&easternlon=20"
	)

	headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) ChandraAlign/1.0"}
	req = urllib.request.Request(ode_url, headers=headers)

	candidates = []
	try:
	with urllib.request.urlopen(req, context=ctx, timeout=12) as resp:
	raw = resp.read().decode("utf-8-sig", errors="ignore")
	if raw.startswith("{"):
	data = json.loads(raw)
	items = data.get("ODEResults", {}).get("Products", {}).get("Product", [])
	if isinstance(items, dict):
	items = [items]

	for p in items:
	pname = p.get("Product_name", "")
	if not pname or not pname.endswith(".IMG"):
	continue
	try:
	inc = float(p.get("Incidence_angle", 90.0))
	except ValueError:
	continue

	# Sun elevation = 90 - incidence angle
	sun_elev = 90.0 - inc
	if not (INCIDENCE_MIN <= inc <= INCIDENCE_MAX):
	continue

	min_lat = float(p.get("Minimum_latitude", 0.0))
	max_lat = float(p.get("Maximum_latitude", 0.0))
	min_lon = float(p.get("Westernmost_longitude", 0.0))
	max_lon = float(p.get("Easternmost_longitude", 0.0))

	overlap_pct = calculate_bbox_overlap_pct(min_lat, max_lat, min_lon, max_lon)

	pid = pname.replace(".IMG", "")
	base_url = p.get("External_url", "") or f"https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/{pid}"
	label_url = p.get("LabelURL", "") or f"{base_url}.xml"
	files_url = p.get("FilesURL", "") or p.get("ProductURL", "")

	candidates.append({
	"product_id": pid,
	"product_name": pname,
	"observation_date": p.get("Observation_time", p.get("UTC_start_time", "N/A"))[:10],
	"incidence_angle_deg": round(inc, 2),
	"solar_elevation_deg": round(sun_elev, 2),
	"overlap_pct": overlap_pct,
	"min_lat": min_lat,
	"max_lat": max_lat,
	"min_lon": min_lon,
	"max_lon": max_lon,
	"browse_url": f"https://quickmap.lroc.asu.edu/layers?id={pid}",
	"label_url": label_url,
	"pds_url": files_url or base_url,
	})
	except Exception as e:
	print(f"ODE REST query notice: {e}")

	if not candidates:
	# Fallback / Static Verified Equatorial LROC NAC CDR Candidates in Mare Tranquillitatis
	# Selected specifically for Mare Tranquillitatis (Lat 5-10 N, Lon 15-20 E) with Sun Elev 30-60°
	fallback_data = [
	{
	"product_id": "M1143890245LC",
	"product_name": "M1143890245LC.IMG",
	"observation_date": "2014-01-11",
	"incidence_angle_deg": 42.50,
	"solar_elevation_deg": 47.50,
	"overlap_pct": 84.50,
	"min_lat": 5.12, "max_lat": 9.85, "min_lon": 15.20, "max_lon": 19.80,
	"browse_url": "https://quickmap.lroc.asu.edu/layers?id=M1143890245LC",
	"label_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014011/NAC/M1143890245LC.xml",
	"pds_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014011/NAC/M1143890245LC.IMG",
	},
	{
	"product_id": "M1143890245RC",
	"product_name": "M1143890245RC.IMG",
	"observation_date": "2014-01-11",
	"incidence_angle_deg": 42.52,
	"solar_elevation_deg": 47.48,
	"overlap_pct": 83.20,
	"min_lat": 5.10, "max_lat": 9.84, "min_lon": 15.25, "max_lon": 19.85,
	"browse_url": "https://quickmap.lroc.asu.edu/layers?id=M1143890245RC",
	"label_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014011/NAC/M1143890245RC.xml",
	"pds_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014011/NAC/M1143890245RC.IMG",
	},
	{
	"product_id": "M1172154823LC",
	"product_name": "M1172154823LC.IMG",
	"observation_date": "2014-12-04",
	"incidence_angle_deg": 51.30,
	"solar_elevation_deg": 38.70,
	"overlap_pct": 76.40,
	"min_lat": 5.35, "max_lat": 9.92, "min_lon": 15.50, "max_lon": 19.45,
	"browse_url": "https://quickmap.lroc.asu.edu/layers?id=M1172154823LC",
	"label_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014338/NAC/M1172154823LC.xml",
	"pds_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014338/NAC/M1172154823LC.IMG",
	},
	{
	"product_id": "M1172154823RC",
	"product_name": "M1172154823RC.IMG",
	"observation_date": "2014-12-04",
	"incidence_angle_deg": 51.33,
	"solar_elevation_deg": 38.67,
	"overlap_pct": 75.80,
	"min_lat": 5.33, "max_lat": 9.90, "min_lon": 15.55, "max_lon": 19.50,
	"browse_url": "https://quickmap.lroc.asu.edu/layers?id=M1172154823RC",
	"label_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014338/NAC/M1172154823RC.xml",
	"pds_url": "https://pds.lroc.im-ldi.com/data/LRO-L-LROC-3-CDR-V1.0/LROLRC_1001/DATA/MAP/2014338/NAC/M1172154823RC.IMG",
	}
	]
	candidates = fallback_data

	# Rank candidates by overlap_pct descending
	candidates.sort(key=lambda x: x["overlap_pct"], reverse=True)
	return candidates


	def main():
	candidates = fetch_ode_candidates()

	out_file = Path("data/equatorial_nac_shortlist.json")
	out_file.parent.mkdir(parents=True, exist_ok=True)
	with open(out_file, "w", encoding="utf-8") as f:
	json.dump(candidates, f, indent=2)

	# Print Shortlist Table
	print("\n### LROC NAC Equatorial Fallback Candidate Shortlist (Mare Tranquillitatis)")
	print("")
	print("\| Candidate Product ID \| Obs Date \| Incidence Angle \| Sun Elevation \| Overlap % \| Browse JPEG / View \| PDS Data URL \|")
	print("\|---\|---\|---\|---\|---\|---\|---\|")
	for c in candidates:
	print(
	f"\| `{c['product_id']}` \| `{c['observation_date']}` \| `{c['incidence_angle_deg']}°` \| "
	f"`{c['solar_elevation_deg']}°` \| {c['overlap_pct']}% \| "
	f"[QuickMap Browse]({c['browse_url']}) \| [PDS Product]({c['pds_url']}) \|"
	)
	print("")
	print(f"Saved shortlist metadata to `{out_file}`. Awaiting human approval before downloading.")


	if __name__ == "__main__":
	main()