Feat #230: Add temperature and humidity GEE pipeline and API

[AKSHARVAGHASIYA]

### Resolves: #230

Overview

This PR resolves Issue #230 by implementing a robust, serverless Google Earth Engine computation pipeline that calculates the relative Temperature and Humidity levels (coarse field level @ 5km) directly over designated AoI Micro-Watershed boundaries inside the nrm celery background process.

Changes Made
New Computing Pipeline (computing/temperature_humidity/temp_humid.py):

Introduced a new celery algorithm calculate_temperature_humidity.

Modifies and extracts from the MODIS/061/MOD11C3 LST array (coarse 5km) to pull surface temperature dynamics.

Modifies the ECMWF/ERA5_LAND/MONTHLY_AGGR raster payload, manually piping standard Temperature vs Dewpoint thresholds through an August-Roche-Magnus expression() logic block in GEE to build an accurate proxy for relative humidity.

Vectorizes bounding polygon metadata and kicks it into the local Postgres dataset instance (Dataset.objects.get_or_create) dynamically mapping onto TEMP_HUMID_ALGORITHM.

Setup Rest Endpoint (computing/api.py and computing/urls.py):

Wired the worker queue command safely behind the /api/v1/generate_temperature_humidity_layer/ authorized gateway, resolving locational state, district, block payload packets cleanly onto the background queues!