The grid can be viewed as a graph where each cell is a node connected to its four possible neighbors. To identify closed islands, we can use a DFS approach starting from any cell containing 0 (cell of land). This DFS should mark the entire island by changing those 0s to a visited flag, such as -1. During the traversal, if any part of the island reaches the grid's boundary, it cannot be a closed island.

For each unvisited 0, if it forms a complete island (i.e., it does not reach the boundary), we increment the closed island count. We examine cells systematically, ensuring that all possible islands are accounted for.

This approach employs BFS to traverse the islands. By leveraging a queue, we can iteratively explore all 0-connected land cells starting from each unvisited land cell. If during any BFS iteration, we find ourselves at the boundary or edge of the grid, the ongoing island is not closed.

Using BFS here can make iterative exploration more intuitive and can be preferred in languages where managing stacks explicitly is a common challenge, although the core logic of edge-checking remains similar.