To solve this question, we need to match the images representing different sampling frames (List-I) with the corresponding sampling procedures (List-II).

1. Simple Random Sampling: This is a method where each unit of the population has an equal chance of being selected. Typically, units are selected randomly without any specific pattern. 
   The image labeled as A is a disperse distribution of selected units, which is characteristic of simple random sampling.
2. Stratified Random Sampling: In this method, the population is divided into subgroups (strata), and random samples are taken from each stratum. 
   The image labeled as B shows units divided into separate sections, indicating a stratified random sampling process.
3. Systematic Sampling: In this method, after selecting a random start, every nth unit is selected from the list. 
   The image labeled as C shows a pattern of selecting units at regular intervals, which is typical of systematic sampling.
4. Cluster Sampling: Here, the population is divided into clusters, and entire clusters are randomly selected. 
   The image labeled as D shows selections concentrated within a specific area, characteristic of cluster sampling.

Based on the descriptions and matches, the correct option is:

A-III (Simple Random Sampling), B-IV (Stratified Random Sampling), C-I (Systematic Sampling), D-II (Cluster Sampling)