{"name": "Cat\u00e1logo Multiespectral por \u00c1rea de Interesse", "package_name": "usgs_catalogo_qgis", "description": "Satellite imagery, PRODES investigation and public environmental and land-tenure screening in a separate tab.", "about": "Experimental 3.5: separate environmental and land-tenure tab; public SICAR status, IBAMA and ICMBio embargo intersections, ICMBio notices, SEMAS/PA LDI and associated administrative proceedings, and exact-number judicial metadata through CNJ/DataJud. Public ITERPA layers for glebas, settlements, SIGEF/SNCI and land applications cover Para only. Parallel read-only requests use a five-minute consultation budget and preserve incomplete-source statuses. Automatic HTML/JSON/CSV reports and PDF export. This screening cannot certify ownership, legal/environmental clearance or the absence of all public proceedings.\nExperimental 3.4: public INPE Brazil Data Cube Landsat Collection 2 Level-2 scenes integrated with Planetary Computer in manual catalog, batch commands and automatic PRODES acquisition. Same-product mirrors are merged and used when a band download fails. Public-source outages are reported. Historical/year coverage is not guaranteed.\nExperimental 3.3: consistent calibrated natural-color display, sampled in-parcel QA ranking before spectral download, same-year candidate fallback for download failures or missing pixels, no cloud-limit relaxation and explicit missing-year reporting. Original spectral data and sensor resolution are preserved. Structured temporal/thematic/spatial review argumentation and an offline accuracy evaluator are included; no eighty-percent thematic accuracy claim is validated.\nExperimental 3.2: one-click command execution, immediate main-thread QGIS raster import or archive-only destination, exact requested scene-cloud constraints, annual missing-scene reporting, import quality checks and PRODES command routing. Acquisition and QGIS integration tested with synthetic imagery; live acquisition remains to be validated.\nExperimental 3.1: classic imagery catalog restored as main entry, task planning in Portuguese with annual or per-date batch downloads, native-pixel display by default, in-parcel missing-data inspection, SLC-off hidden by default, lazy NBR acquisition for selected investigation scenes and technical evidence matrices. Commands are a restricted parser, not a Codex connection or general AI chat.\n3.0 experimental: autonomous bounded investigation, per-polygon QA ranking, seasonal intermediate-date searches, hypotheses, versioned official guidance, hash-chained audit, local multimodal Ollama assistance (requires a locally installed vision model), consistent reflectance contrast, UTM focus maps with context inset and grid north, 300-DPI output and automatic evidence package export. Visual hypotheses do not override measured conclusions. No model weights are included and thematic accuracy is not validated.\nPrevious experimental 2.3: two-vector-input workflow with automatic official PRODES source lookup, anonymous Landsat acquisition, historical search from 1985 by default through two years after each record, calibrated same-pixel temporal comparisons, exploratory NBR/dNBR disturbance and recovery screening, readable recommendations and per-polygon before/after PRODES RGB maps embedded in PDF and HTML. Reports distinguish observation intervals from exact first-clearance dates and never prove fire causation or legal compliance. Technical consolidated-area input remains a supplied classification. QGIS 3.34.4 end-to-end integration verified with synthetic imagery and real vectors; live native-network acquisition and thematic accuracy still require independent validation.\nAnonymous Landsat Collection 2 Level-2 and Sentinel-2 Level-2A search by polygon area, scene cloud cover below 20 percent, georeferenced preview, selectable RGB bands, NDVI and a local offline archive. QGIS 3.22-3.99 with GDAL Python and NumPy is required; standard QGIS installations generally include these dependencies. New imagery requires internet and Microsoft Planetary Computer or INPE Brazil Data Cube availability. Experimental release; QGIS 3.34.4 integration verified, other installations remain to be tested.\nDesenvolvido em colabora\u00e7\u00e3o por Kayky Pessoa de Araujo e OpenAI Codex. Imagens Landsat: USGS/NASA; Sentinel-2: ESA/Copernicus. Cat\u00e1logo e hospedagem: Microsoft Planetary Computer e INPE/Brazil Data Cube. Pesquisa cenas hist\u00f3ricas, permite composi\u00e7\u00f5es RGB distintas da mesma cena e calcula NDVI com as bandas NIR e vermelha. Permite conferir o limite do im\u00f3vel sobre a imagem antes de importar e manter um acervo local por \u00e1rea. Internet \u00e9 necess\u00e1ria para novos downloads e atualiza\u00e7\u00f5es; GDAL e NumPy s\u00e3o usados no processamento.", "homepage": "https://github.com/kaykytopas-create/catalogo-multiespectral-aoi#readme", "repository": "https://github.com/kaykytopas-create/catalogo-multiespectral-aoi", "tracker": "https://github.com/kaykytopas-create/catalogo-multiespectral-aoi/issues", "author": "Kayky Pessoa de Araujo", "tags": ["usgs", "landsat", "sentinel-2", "satellite", "imagery", "raster", "remote sensing", "cloud cover", "rgb", "ndvi", "prodes", "offline", "stac", "area of interest", "car", "embargo", "land tenure", "gleba", "settlement", "iterpa", "ibama", "icmbio", "datajud", "inpe", "brazil data cube", "environmental investigation", "local ai", "evidence", "terrabrasilis", "prodes analysis", "report"], "downloads": 195, "latest_version": "3.5.2", "versions": [{"version": "3.5.2", "experimental": true, "qgis_min": "3.22.0", "qgis_max": "3.99.0", "downloads": 55, "uploaded_by": "Kayky_Araujo1007@", "upload_datetime": "2026-10-17T09:15:10.501768"}, {"version": "0.10.0", "experimental": true, "qgis_min": "3.22.0", "qgis_max": "3.99.0", "downloads": 69, "uploaded_by": "Kayky_Araujo1007@", "upload_datetime": "2026-10-05T18:26:42.299387"}, {"version": "0.9.3", "experimental": true, "qgis_min": "3.22.0", "qgis_max": "3.99.0", "downloads": 71, "uploaded_by": "Kayky_Araujo1007@", "upload_datetime": "2026-10-01T15:50:45.230995"}]}