Skip to main content

Evaluation and Characteristics of Himalayas


Time PeriodEvent / ProcessGeological EvidenceKey Terms & Concepts
Late Precambrian – Palaeozoic (>541 Ma – ~250 Ma)India part of Gondwana, north bordered by Cimmerian Superterranes, separated from Eurasia by Paleo-Tethys Ocean.Pan-African granitic intrusions (~500 Ma), unconformity between Ordovician conglomerates & Cambrian sediments.Gondwana, Paleo-Tethys Ocean, Pan-African orogeny, unconformity, granitic intrusions, Cimmerian Superterranes.
Early Carboniferous – Early Permian (~359 – 272 Ma)Rifting between India & Cimmerian Superterranes → Neotethys Ocean formation.Rift-related sediments, passive margin sequences.Rifting, Neotethys Ocean, passive continental margin.
Norian (210 Ma) – Callovian (160–155 Ma)Gondwana split into East & West; India part of East Gondwana with Australia & Antarctica.Rift basins, oceanic crust formation.Continental breakup, East Gondwana, West Gondwana, oceanic crust.
Early Cretaceous (130–125 Ma)India broke from Australia & Antarctica → opening of South Indian Ocean.Magnetic anomaly patterns in oceanic crust.Seafloor spreading, plate separation.
Late Cretaceous (~84–65 Ma)India's rapid northward drift (~18–19.5 cm/yr, ~6000 km). Oceanic–oceanic subduction until closure.Ophiolite obduction onto Indian margin.Plate convergence, ophiolite, obduction, subduction.
Paleocene – Eocene (~65–55 Ma)Onset of India–Eurasia collision, slowdown to ~4.5 cm/yr.Structural shortening (~2500 km), rotation of India (45° NW Himalaya, 10–15° Nepal).Orogeny, continental collision, thrusting, folding, extrusion tectonics.
Miocene – Present (~23 Ma – now)Himalayan uplift, highest peaks (Mt. Everest 8848 m), Nanga Parbat uplift 10 mm/yr, erosion rates 2–12 mm/yr.Glacial deposits, sediment flux (25% global).Active orogen, syntax, erosion, sediment budget, tectonic underplating, duplexing.
Historical Earthquakes (1905–1999)High seismicity due to ongoing convergence (~17 mm/yr).1905 Kangra, 1975 Kinnaur, 1991 Uttarkashi, 1999 Chamoli (Mw ≥ 6.6).Seismic hazard, Coulomb Stress Transfer (CST), fault rupture, mid-crustal ramp.

Major Tectonostratigraphic Zones (South → North)

ZoneAge / CompositionMajor FaultNotes
Sub-Himalaya (Sivalik)Miocene–Pleistocene molasse (Murree & Sivalik Formations)Main Frontal Thrust (MFT)Foothills; rivers from Himalayas deposit alluvium.
Lesser Himalaya (LH)Upper Proterozoic–Lower Cambrian sediments, granites, volcanicsMain Boundary Thrust (MBT)Appears in tectonic windows.
Higher Himalaya / HHCSMedium–high grade metamorphic rocks + Ordovician & Miocene granitesMain Central Thrust (MCT)Backbone of Himalaya, high peaks.
Tethys Himalaya (TH)Weakly metamorphosed sediments, complete stratigraphySouth Tibetan Detachment System (STDS)Preserves Gondwanan to Eocene record.
Indus–Tsangpo Suture Zone (ISZ)Ophiolites, Dras Volcanics, Indus MolasseMarks India–Eurasia collision boundary.


Comments

Popular posts from this blog

Accuracy Assessment

Accuracy assessment is the process of checking how correct your classified satellite image is . 👉 After supervised classification, the satellite image is divided into classes like: Water Forest Agriculture Built-up land Barren land But classification is done using computer algorithms, so some areas may be wrongly classified . 👉 Accuracy assessment helps to answer this question: ✔ "How much of my classified map is correct compared to real ground conditions?"  Goal The main goal is to: Measure reliability of classified maps Identify classification errors Improve classification results Provide scientific validity to research 👉 Without accuracy assessment, a classified map is not considered scientifically reliable . Reference Data (Ground Truth Data) Reference data is real-world information used to check classification accuracy. It can be collected from: ✔ Field survey using GPS ✔ High-resolution satellite images (Google Earth etc.) ✔ Existing maps or survey reports 🧭 Exampl...

Change Detection

Change detection is the process of finding differences on the Earth's surface over time by comparing satellite images of the same area taken on different dates . After supervised classification , two classified maps (e.g., Year-1 and Year-2) are compared to identify land use / land cover changes .  Goal To detect where , what , and how much change has occurred To monitor urban growth, deforestation, floods, agriculture, etc.  Basic Concept Forest → Forest = No change Forest → Urban = Change detected Key Terminologies Multi-temporal images : Images of the same area at different times Post-classification comparison : Comparing two classified maps Change matrix : Table showing class-to-class change Change / No-change : Whether land cover remains same or different Main Methods Post-classification comparison – Most common and easy Image differencing – Subtract pixel values Image ratioing – Divide pixel values Deep learning methods – Advanced AI-based detection Examples Agricult...

Geographic phenomena fields objects boundaries.

In geography, geographic phenomena refer to features or processes that can be observed and studied on Earth's surface. These phenomena can be classified into three main categories: fields , objects , and boundaries . Each category has distinct characteristics, representations, and applications in Geographic Information Systems (GIS). 1. Fields A field represents continuous, spatially varying data where a value is present at every location within the study area. It describes conditions that exist across a geographic area. Characteristics : Continuity : Fields have no discrete boundaries; the data is continuous. Gradual Variability : The values of a field change gradually across space. Representation : Typically modeled using raster data in GIS, where a grid structure assigns a value (e.g., temperature or elevation) to each cell. Examples : Temperature Map : Shows temperature variation across a region. Rainfall Distribution : Displays rainfall levels over a large g...

Development and scope of Environmental Geography and Recent concepts in environmental Geography

Environmental Geography studies the relationship between humans and nature in a spatial (place-based) way. It combines Physical Geography (natural processes) and Human Geography (human activities). A. Early Stage 🔹 Environmental Determinism Concept: Nature controls human life. Meaning: Climate, landforms, and soil decide how people live. Example: People in deserts (like Sahara Desert) live differently from people in fertile river valleys. 🔹 Possibilism Concept: Humans can modify nature. Meaning: Environment gives options, but humans make choices. Example: In dry areas like Rajasthan, people use irrigation to grow crops. 👉 In this stage, geography was mostly descriptive (explaining what exists). B. Evolution Stage (Mid-20th Century) Environmental problems increased due to: Industrialization Urbanization Deforestation Pollution Geographers started studying: Environmental degradation Resource management Human impact on ecosystems The field became analytical and problem-solving...

Landsat 8 Band designation and Band Combination.

Landsat 8 Band designation and Band Combination.  Landsat 8-9 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) Bands Wavelength (micrometers) Resolution (meters) Band 1 - Coastal aerosol 0.43-0.45 30 Band 2 - Blue 0.45-0.51 30 Band 3 - Green 0.53-0.59 30 Band 4 - Red 0.64-0.67 30 Band 5 - Near Infrared (NIR) 0.85-0.88 30 Band 6 - SWIR 1 1.57-1.65 30 Band 7 - SWIR 2 2.11-2.29 30 Band 8 - Panchromatic 0.50-0.68 15 Band 9 - Cirrus 1.36-1.38 30 Band 10 - Thermal Infrared (TIRS) 1 10.6-11.19 100 Band 11 - Thermal Infrared (TIRS) 2 11.50-12.51 100 Vineesh V Assistant Professor of Geography, Directorate of Education, Government of Kerala. https://www.facebook.com/Applied.Geography http://geogisgeo.blogspot.com